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searching for Univariate (statistics) 262 found (266 total)

alternate case: univariate (statistics)

General linear model (1,062 words) [view diff] no match in snippet view article find links to article

or as several independent univariate tests. In multivariate tests the columns of Y are tested together, whereas in univariate tests the columns of Y are
Univariate (281 words) [view diff] no match in snippet view article find links to article
fundamental properties of univariate polynomials that cannot be generalized to multivariate polynomials. The term is commonly used in statistics to distinguish a
Multivariate statistics (1,242 words) [view diff] no match in snippet view article find links to article
practical application of multivariate statistics to a particular problem may involve several types of univariate and multivariate analyses in order to
Time series (4,165 words) [view diff] no match in snippet view article find links to article
time series analysis may also be divided into linear and non-linear, and univariate and multivariate. A time series is one type of panel data. Panel data
Descriptive statistics (863 words) [view diff] no match in snippet view article find links to article
investments in order to make better investing decisions in the future. Univariate analysis involves describing the distribution of a single variable, including
Elliptical distribution (1,732 words) [view diff] no match in snippet view article find links to article
that have undefined mean, such as the Cauchy distribution (even in the univariate case). Because the variable x enters the density function quadratically
Univariate analysis (277 words) [view diff] no match in snippet view article find links to article
Univariate analysis is perhaps the simplest form of statistical analysis. Like other forms of statistics, it can be inferential or descriptive. The key
Wilks's lambda distribution (635 words) [view diff] no match in snippet view article find links to article
In statistics, Wilks' lambda distribution (named for Samuel S. Wilks), is a probability distribution used in multivariate hypothesis testing, especially
Multivariate analysis of variance (804 words) [view diff] no match in snippet view article find links to article
separately. MANOVA is a generalized form of univariate analysis of variance (ANOVA), although, unlike univariate ANOVA, it uses the covariance between outcome
Univariate distribution (242 words) [view diff] no match in snippet view article find links to article
in statistics, a univariate distribution is a probability distribution of only one random variable. This is in contrast to a multivariate distribution
Generalized linear model (4,180 words) [view diff] no match in snippet view article find links to article
In statistics, the generalized linear model (GLM) is a flexible generalization of ordinary linear regression that allows for response variables that have
Multivariate normal distribution (8,621 words) [view diff] no match in snippet view article find links to article
joint normal distribution is a generalization of the one-dimensional (univariate) normal distribution to higher dimensions. One definition is that a random
Probability distribution (4,303 words) [view diff] no match in snippet view article find links to article
is called univariate, while a distribution whose sample space is a vector space of dimension 2 or more is called multivariate. A univariate distribution
Normal distribution (20,050 words) [view diff] no match in snippet view article find links to article
probability theory, has been extended far beyond the standard framework of the univariate (that is one-dimensional) case (Case 1). All these extensions are also
Natural exponential family (2,117 words) [view diff] no match in snippet view article find links to article
}}+\mathbf {t} )-A({\boldsymbol {\theta }})\,.} The five most important univariate cases are: normal distribution with known variance Poisson distribution
Hodges–Lehmann estimator (1,012 words) [view diff] no match in snippet view article find links to article
the populations. The Hodges–Lehmann univariate statistics have several generalizations in multivariate statistics: Multivariate ranks and signs Spatial
Extreme value theory (2,424 words) [view diff] no match in snippet view article find links to article
that the limiting model is not as fully prescribed as in the univariate case. In the univariate case, the model (GEV distribution) contains three parameters
Central moment (1,280 words) [view diff] no match in snippet view article find links to article
also to its location. Sets of central moments can be defined for both univariate and multivariate distributions. The nth moment about the mean (or nth
Multivariate t-distribution (1,174 words) [view diff] no match in snippet view article find links to article
of the Student's t-distribution, which is a distribution applicable to univariate random variables. While the case of a random matrix could be treated within
Median absolute deviation (1,069 words) [view diff] no match in snippet view article find links to article
In statistics, the median absolute deviation (MAD) is a robust measure of the variability of a univariate sample of quantitative data. It can also refer
Errors and residuals (2,077 words) [view diff] no match in snippet view article find links to article
studentized residuals. Suppose there is a series of observations from a univariate distribution and we want to estimate the mean of that distribution (the
Delta method (1,817 words) [view diff] no match in snippet view article find links to article
setting, careful motivation of the technique is more easily demonstrated in univariate terms. Roughly, if there is a sequence of random variables Xn satisfying
Bivariate analysis (446 words) [view diff] no match in snippet view article find links to article
Bivariate analysis can be contrasted with univariate analysis in which only one variable is analysed. Like univariate analysis, bivariate analysis can be descriptive
Normal-inverse-gamma distribution (1,015 words) [view diff] no match in snippet view article find links to article
V − 1 {\displaystyle \sigma ^{2}\mathbf {V} ^{-1}} – while, as in the univariate case, σ 2 ∣ α , β ∼ Γ − 1 ( α , β ) {\displaystyle \sigma ^{2}\mid \alpha
Five-number summary (735 words) [view diff] no match in snippet view article find links to article
data points are outliers. In order for these statistics to exist the observations must be from a univariate variable that can be measured on an ordinal
Box–Jenkins method (1,530 words) [view diff] no match in snippet view article find links to article
whether the estimated model conforms to the specifications of a stationary univariate process. In particular, the residuals should be independent of each other
Mathematical statistics (1,771 words) [view diff] no match in snippet view article find links to article
probability measures. A probability distribution can either be univariate or multivariate. A univariate distribution gives the probabilities of a single random
Repeated measures design (2,245 words) [view diff] no match in snippet view article find links to article
(Chapter 7)". Univariate and multivariate general linear models: Theory and applications with SAS (with 1 CD-ROM for Windows and UNIX). Statistics: Textbooks
Ordinal data (2,521 words) [view diff] no match in snippet view article find links to article
statistical procedures. In place of means and standard deviations, univariate statistics appropriate for ordinal data include the median, other percentiles
JMulTi (87 words) [view diff] no match in snippet view article find links to article
open-source interactive software for econometric analysis, specialised in univariate and multivariate time series analysis. It has a Java graphical user interface
Probability density function (5,038 words) [view diff] no match in snippet view article find links to article
density function is most commonly associated with absolutely continuous univariate distributions. A random variable X {\displaystyle X} has density f X {\displaystyle
Truncated normal distribution (1,874 words) [view diff] no match in snippet view article find links to article
Continuous univariate distributions-1, chapter 13. John Wiley & Sons. Lynch, Scott (2007). Introduction to Applied Bayesian Statistics and Estimation
Hotelling's T-squared distribution (2,203 words) [view diff] no match in snippet view article find links to article
multivariate statistics in undertaking tests of the differences between the (multivariate) means of different populations, where tests for univariate problems
Grubbs's test for outliers (578 words) [view diff] no match in snippet view article find links to article
extreme studentized deviate test, is a test used to detect outliers in a univariate data set assumed to come from a normally distributed population. Grubbs's
Exponential dispersion model (864 words) [view diff] no match in snippet view article find links to article
are two versions to formulate an exponential disperson model. In the univariate case, a real-valued random variable X {\displaystyle X} belongs to the
Median (7,119 words) [view diff] no match in snippet view article find links to article
concepts that extend the definition of the univariate median; each such multivariate median agrees with the univariate median when the dimension is exactly
Multivariate kernel density estimation (4,207 words) [view diff] no match in snippet view article find links to article
density estimators were first introduced in the scientific literature for univariate data in the 1950s and 1960s and subsequently have been widely adopted
Higher-order statistics (265 words) [view diff] no match in snippet view article find links to article
robust than lower-order statistics. In statistical theory, one long-established approach to higher-order statistics, for univariate and multivariate distributions
Run chart (363 words) [view diff] no match in snippet view article find links to article
plots are an easy way to graphically summarize a univariate data set. A common assumption of univariate data sets is that they behave like: random drawings;
Restricted maximum likelihood (427 words) [view diff] no match in snippet view article find links to article
implemented in Surfstat a Matlab toolbox for the statistical analysis of univariate and multivariate surface and volumetric neuroimaging data using linear
Vine copula (2,769 words) [view diff] no match in snippet view article find links to article
multivariate distributions with uniform univariate margins. Representing a joint distribution as univariate margins plus copulas allows the separation
Moving-average model (749 words) [view diff] no match in snippet view article find links to article
also known as moving-average process, is a common approach for modeling univariate time series. The moving-average model specifies that the output variable
Beta-binomial distribution (3,072 words) [view diff] no match in snippet view article find links to article
Dirichlet-multinomial distribution as the binomial and beta distributions are univariate versions of the multinomial and Dirichlet distributions respectively.
Wallenius' noncentral hypergeometric distribution (1,875 words) [view diff] no match in snippet view article find links to article
; n , m , N ) {\displaystyle \operatorname {hypg} (x;n,m,N)} is the (univariate, central) hypergeometric distribution probability. The balls that are
Characteristic function (probability theory) (4,854 words) [view diff] no match in snippet view article
distributions defined by the weighted sums of random variables. In addition to univariate distributions, characteristic functions can be defined for vector or matrix-valued
Multivariate Pareto distribution (1,461 words) [view diff] no match in snippet view article find links to article
In statistics, a multivariate Pareto distribution is a multivariate extension of a univariate Pareto distribution. There are several different types of
StatPlus (157 words) [view diff] no match in snippet view article find links to article
basic univariate and multivariate statistical analysis (MANOVA, GLM, Latin squares), as well as time series analysis, nonparametric statistics, survival
Generalized randomized block design (1,237 words) [view diff] no match in snippet view article find links to article
to experimental units. When Mandel's multiplicative model holds, the F-statistics randomization distribution is closely approximated by the distribution
Moment-generating function (2,422 words) [view diff] no match in snippet view article find links to article
moment-generating function, evaluated at 0. In addition to real-valued distributions (univariate distributions), moment-generating functions can be defined for vector-
Moment-generating function (2,422 words) [view diff] no match in snippet view article find links to article
moment-generating function, evaluated at 0. In addition to real-valued distributions (univariate distributions), moment-generating functions can be defined for vector-
Economic data (1,500 words) [view diff] no match in snippet view article find links to article
regression, Box–Jenkins analysis, and seasonality analysis. Analysis may be univariate (modeling one series) or multivariate (from several series). Econometricians
Multivariate Behrens–Fisher problem (1,766 words) [view diff] no match in snippet view article find links to article
a generalization of the univariate Behrens-Fisher problem, it inherits all of the difficulties that arise in the univariate problem. Let X i j ∼ N p
Vector autoregression (3,328 words) [view diff] no match in snippet view article find links to article
interdependencies among multiple time series. VAR models generalize the univariate autoregressive model (AR model) by allowing for more than one evolving
Estimation of distribution algorithm (4,012 words) [view diff] no match in snippet view article find links to article
univariate EDAs rely only on univariate statistics and multivariate distributions must be factorized as the product of N {\displaystyle N} univariate
Half-logistic distribution (246 words) [view diff] no match in snippet view article find links to article
Johnson, N. L.; Kotz, S.; Balakrishnan, N. (1994). "23.11". Continuous univariate distributions. 2 (2nd ed.). New York: Wiley. p. 150. George, Olusegun;
Mean absolute difference (1,451 words) [view diff] no match in snippet view article find links to article
The mean absolute difference (univariate) is a measure of statistical dispersion equal to the average absolute difference of two independent values drawn
Fisher's noncentral hypergeometric distribution (2,371 words) [view diff] no match in snippet view article find links to article
called "finchy-pig," based on the abbreviation convention above. The univariate noncentral hypergeometric distribution may be derived alternatively as
Maximum spacing estimation (3,312 words) [view diff] no match in snippet view article find links to article
spacing estimation (MPS), is a method for estimating the parameters of a univariate statistical model. The method requires maximization of the geometric mean
Slice sampling (2,572 words) [view diff] no match in snippet view article find links to article
value from the distribution as done in Gibbs. This method adapts the univariate algorithm to the multivariate case by substituting a hyperrectangle for
Kurtosis (4,356 words) [view diff] no match in snippet view article find links to article
and not the configuration of data near the mean. The kurtosis of any univariate normal distribution is 3. It is common to compare the kurtosis of a distribution
Compound probability distribution (1,755 words) [view diff] no match in snippet view article find links to article
Introduction to the theory of statistics (3rd ed.). New York: McGraw-Hill. Johnson, N. L.; Kemp, A. W.; Kotz, S. (2005). "6.2.2". Univariate discrete distributions
Bernoulli distribution (1,481 words) [view diff] no match in snippet view article find links to article
(1993). Univariate Discrete Distributions (2nd ed.). Wiley. ISBN 0-471-54897-9. Peatman, John G. (1963). Introduction to Applied Statistics. New York:
Kernel density estimation (4,443 words) [view diff] no match in snippet view article find links to article
independently creating it in its current form. Let (x1, x2, …, xn) be a univariate independent and identically distributed sample drawn from some distribution
Relationships among probability distributions (2,270 words) [view diff] no match in snippet view article find links to article
Computational Statistics. 594 (2): 249–271. doi:10.1007/s00180-015-0594-6. PMC 4856044. PMID 27158191. Interactive graphic: Univariate Distribution Relationships
Robust statistics (5,652 words) [view diff] no match in snippet view article find links to article
way that they mask each other. As a simple example, consider a small univariate data set containing one modest and one large outlier. The estimated standard
Statistical model (2,180 words) [view diff] no match in snippet view article find links to article
dimension of the model. As an example, if we assume that data arise from a univariate Gaussian distribution, then we are assuming that P = { P μ , σ ( x ) ≡
Hyperbolic secant distribution (597 words) [view diff] no match in snippet view article find links to article
Johnson, Norman L.; Kotz, Samuel; Balakrishnan, N. (1995). Continuous Univariate Distributions. 2. ISBN 978-0-471-58494-0. Ding, P. (2014). "Three occurrences
Extended negative binomial distribution (595 words) [view diff] no match in snippet view article find links to article
}}|s|\leq {\frac {1}{p}}.} Jonhnson, N.L.; Kotz, S.; Kemp, A.W. (1993) Univariate Discrete Distributions, 2nd edition, Wiley ISBN 0-471-54897-9 (page 227)
Nonparametric regression (428 words) [view diff] no match in snippet view article find links to article
predicting univariate data, the framework can be used to predict multivariate data, including time series. Local regression Non-parametric statistics Semiparametric
Generalized additive model (5,576 words) [view diff] no match in snippet view article find links to article
of generalized linear models with additive models. The model relates a univariate response variable, Y, to some predictor variables, xi. An exponential
Statistical graphics (648 words) [view diff] no match in snippet view article find links to article
for Univariate and Bivariate Data: Statistical Graphics pp.2–4 James R. Beniger and Dorothy L. Robyn (1978). "Quantitative graphics in statistics: A brief
Samarendra Nath Roy (1,096 words) [view diff] no match in snippet view article find links to article
contributions to the theory of univariate and multivariate statistical analysis". Sources: Fellow of the Institute of Mathematical Statistics Fellow of the International
List of statistical software (1,407 words) [view diff] no match in snippet view article find links to article
similar to WinBUGS JMulTi – For econometric analysis, specialised in univariate and multivariate time series analysis KNIME - An open source analytics
M-estimator (2,563 words) [view diff] no match in snippet view article find links to article
median as an estimate of location and the median absolute deviation as a univariate estimate of scale, are common. In computation of M-estimators, it is sometimes
Shapiro–Wilk test (799 words) [view diff] no match in snippet view article find links to article
and Shapiro–Francia tests for normality Park, Hun Myoung (2002–2008). "Univariate Analysis and Normality Test Using SAS, Stata, and SPSS" (PDF). [working
T distribution (24 words) [view diff] no match in snippet view article find links to article
Student's t-distribution in univariate probability theory, Hotelling's T-square distribution in multivariate statistics. Multivariate Student distribution
Credit analysis (883 words) [view diff] no match in snippet view article find links to article
objective, quantitative systems for scoring credits have been developed. In univariate (one variable) accounting-based credit-scoring systems, the credit analyst
Split normal distribution (1,331 words) [view diff] no match in snippet view article find links to article
Villani and Larsson. They assume that each of the principal components has univariate split normal distribution with a different set of parameters μ, σ2 and
Dot plot (statistics) (485 words) [view diff] no match in snippet view article
plotted on a simple scale. Dot plots are used for continuous, quantitative, univariate data. Data points may be labelled if there are few of them. Dot plots
Frequency distribution (828 words) [view diff] no match in snippet view article find links to article
values within a particular group or interval. Here is an example of a univariate (single variable) frequency table. The frequency of each response to a
Goldfeld–Quandt test (968 words) [view diff] no match in snippet view article find links to article
associated only with the former. In the context of multiple regression (or univariate regression), the hypothesis to be tested is that the variances of the
Poisson distribution (10,049 words) [view diff] no match in snippet view article find links to article
Poisson distribution can be deduced from the limiting distribution of univariate multinomial distribution. It is also a special case of a compound Poisson
Autoregressive–moving-average model (2,230 words) [view diff] no match in snippet view article find links to article
library of numerical methods, including comprehensive statistics packages, in which univariate/multivariate ARMA, ARIMA, ARMAX, etc. models are implemented
Inverse-Wishart distribution (2,787 words) [view diff] no match in snippet view article find links to article
A univariate specialization of the inverse-Wishart distribution is the inverse-gamma distribution. With p = 1 {\displaystyle p=1} (i.e. univariate) and
Bates distribution (626 words) [view diff] no match in snippet view article find links to article
distribution Jonhson, N. L.; Kotz, S.; Balakrishnan (1995) Continuous Univariate Distributions, Volume 2, 2nd Edition, Wiley ISBN 0-471-58494-0(Section
Multilevel model (3,207 words) [view diff] no match in snippet view article find links to article
As such, multilevel models provide an alternative type of analysis for univariate or multivariate analysis of repeated measures. Individual differences
Mixture distribution (2,794 words) [view diff] no match in snippet view article find links to article
normal mixture are explored by Ray & Lindsay extending the earlier work on univariate and multivariate distributions (Carreira-Perpinan and Williams, 2003)
Normality test (1,518 words) [view diff] no match in snippet view article find links to article
grasp that "6σ events are very rare in normal distributions". Tests of univariate normality include the following: D'Agostino's K-squared test, Jarque–Bera
ProbOnto (2,001 words) [view diff] no match in snippet view article find links to article
re-parameterization formulas, supporting also the encoding of empirical and univariate mixture distributions. ProbOnto was initially designed to facilitate the
Logarithmic distribution (373 words) [view diff] no match in snippet view article find links to article
Samuel (2005). "Chapter 7: Logarithmic and Lagrangian distributions". Univariate discrete distributions (3 ed.). John Wiley & Sons. ISBN 978-0-471-27246-5
Generalized extreme value distribution (2,396 words) [view diff] no match in snippet view article find links to article
reversed Weibull has an upper limit. More precisely, Extreme Value Theory (Univariate Theory) describes which of the three is the limiting law according to
Copula (probability theory) (6,394 words) [view diff] no match in snippet view article
states that any multivariate joint distribution can be written in terms of univariate marginal distribution functions and a copula which describes the dependence
Cauchy distribution (5,631 words) [view diff] no match in snippet view article find links to article
(1994). Continuous Univariate Distributions, Volume 1. New York: Wiley., Chapter 16. Cauchy and the Witch of Agnesi in Statistics on the Table, S M Stigler
Multivariate analysis (653 words) [view diff] no match in snippet view article find links to article
independent modelling of class analogies (SIMCA) Statistical interference Univariate analysis Olkin, I.; Sampson, A. R. (2001-01-01), "Multivariate Analysis:
Delaporte distribution (471 words) [view diff] no match in snippet view article find links to article
ISBN 978-0-470-01250-5. Johnson, Norman Lloyd; Kemp, Adrienne W.; Kotz, Samuel (2005). Univariate discrete distributions (Third ed.). John Wiley & Sons. pp. 241–242.
List of statistics articles (8,295 words) [view diff] no match in snippet view article find links to article
Unit (statistics) Unit of observation Unit root Unit root test Unit-weighted regression Unitized risk Univariate Univariate analysis Univariate distribution
Marginal model (273 words) [view diff] no match in snippet view article find links to article
marginalize (see also conditional probability) the joint distribution into a univariate normal distribution. We then fit the marginal model to data. For example
Weibull distribution (4,127 words) [view diff] no match in snippet view article find links to article
Continuous univariate distributions. Vol. 1, Wiley Series in Probability and Mathematical Statistics: Applied Probability and Statistics (2nd ed.), New
Weibull distribution (4,127 words) [view diff] no match in snippet view article find links to article
Continuous univariate distributions. Vol. 1, Wiley Series in Probability and Mathematical Statistics: Applied Probability and Statistics (2nd ed.), New
Irwin–Hall distribution (1,093 words) [view diff] no match in snippet view article find links to article
distribution Johnson, N.L.; Kotz, S.; Balakrishnan, N. (1995) Continuous Univariate Distributions, Volume 2, 2nd Edition, Wiley ISBN 0-471-58494-0(Section
Mauchly's sphericity test (1,501 words) [view diff] no match in snippet view article find links to article
violated, a decision must be made as to whether a univariate or multivariate analysis is selected. If a univariate method is selected, the repeated-measures ANOVA
Generalized logistic distribution (630 words) [view diff] no match in snippet view article find links to article
distribution. Johnson, N.L., Kotz, S., Balakrishnan, N. (1995) Continuous Univariate Distributions, Volume 2, Wiley. ISBN 0-471-58494-0 (pages 140–142)
Growth curve (statistics) (736 words) [view diff] no match in snippet view article
(Chapter 7)". Univariate and multivariate general linear models: Theory and applications with SAS (with 1 CD-ROM for Windows and UNIX). Statistics: Textbooks
Geostatistics (1,809 words) [view diff] no match in snippet view article find links to article
other areas of spatial statistics. D-STEM is a software based on the MATLAB language able to handle spatiotemporal univariate and multivariate datasets
Gamma/Gompertz distribution (584 words) [view diff] no match in snippet view article find links to article
Johnson, Norman L.; Kotz, Samuel; Balakrishnan, N. (1995). "Continuous Univariate Distributions". 2 (2nd ed.). New York: John Wiley & Sons: 25–26. ISBN 0-471-58494-0
Logistic distribution (1,565 words) [view diff] no match in snippet view article find links to article
ISBN 0-8247-8587-8. Johnson, N. L.; Kotz, S.; N., Balakrishnan (1995). Continuous Univariate Distributions. Vol. 2 (2nd ed.). ISBN 0-471-58494-0. Modis, Theodore (1992)
Akaike information criterion (5,359 words) [view diff] no match in snippet view article find links to article
for AICc depends upon the statistical model. Assuming that the model is univariate, is linear in its parameters, and has normally-distributed residuals (conditional
Thurstonian model (1,435 words) [view diff] no match in snippet view article find links to article
form for ranking tasks is presented that only involves the product of univariate normal distribution functions and includes rank-induced dependency parameters
Data transformation (statistics) (2,731 words) [view diff] no match in snippet view article
transformation is to address the problem of lack of normality in error terms. Univariate normality is not needed for least squares estimates of the regression
Noncentral chi-squared distribution (3,109 words) [view diff] no match in snippet view article find links to article
distribution", Biometrika 46, 235–237 Johnson et al. (1995) Continuous Univariate Distributions Section 29.8 Muirhead (2005) pages 22–24 and problem 1.18
Location parameter (839 words) [view diff] no match in snippet view article find links to article
distribution is therefore part of a location family. For the continuous univariate case, consider a probability density function f ( x | θ ) , x ∈ [ a ,
Location–scale family (718 words) [view diff] no match in snippet view article find links to article
members have the same functional form. Most location–scale families are univariate, though not all. Well-known families in which the functional form of the
Probability mass function (1,560 words) [view diff] no match in snippet view article find links to article
multiple names: authors list (link) Johnson, N. L.; Kotz, S.; Kemp, A. (1993). Univariate Discrete Distributions (2nd ed.). Wiley. p. 36. ISBN 0-471-54897-9.
Minimum-variance unbiased estimator (1,073 words) [view diff] no match in snippet view article find links to article
Theoretical Statistics. Springer. pp. 47–48, 57–58. Voinov V. G., Nikulin M.S. (1993). Unbiased estimators and their applications, Vol.1: Univariate case. Kluwer
Taguchi methods (2,668 words) [view diff] no match in snippet view article find links to article
allowing) to explore possible high-order univariate effects of the remaining variables, as high-order univariate effects are less likely in variables already
Correlogram (1,213 words) [view diff] no match in snippet view article find links to article
this formula are of no value unless the randomness assumption holds. For univariate data, the default model is Y = constant + error {\displaystyle
Mahalanobis distance (1,821 words) [view diff] no match in snippet view article find links to article
distributions, a point can be a multivariate outlier even if it is not a univariate outlier for any variable (consider a probability density concentrated
Bias of an estimator (5,291 words) [view diff] no match in snippet view article find links to article
Laplace. Other loss functions are used in statistics, particularly in robust statistics. As stated above, for univariate parameters, median-unbiased estimators
Medcouple (3,528 words) [view diff] no match in snippet view article find links to article
In statistics, the medcouple is a robust statistic that measures the skewness of a univariate distribution. It is defined as a scaled median difference
Generalized inverse Gaussian distribution (1,149 words) [view diff] no match in snippet view article find links to article
Continuous univariate distributions. Vol. 1, Wiley Series in Probability and Mathematical Statistics: Applied Probability and Statistics (2nd ed.), New
AP Statistics (1,924 words) [view diff] no match in snippet view article find links to article
and numerical techniques to analyze distributions of data, including univariate, bivariate, and categorical data. The second theme involves planning and
Lomax distribution (782 words) [view diff] no match in snippet view article find links to article
Kotz, S.; Balakrishnan, N. (1994). "20 Pareto distributions". Continuous univariate distributions. 1 (2nd ed.). New York: Wiley. p. 573. J. Chen, J., Addie
Chebyshev's inequality (11,318 words) [view diff] no match in snippet view article find links to article
^{2})}{N^{2}\lambda ^{2}}}\right\rfloor \right\}.\end{aligned}}} In the univariate case, i.e. n ξ = 1 {\textstyle n_{\xi }=1} , this inequality corresponds
Score test (1,546 words) [view diff] no match in snippet view article find links to article
Let L {\displaystyle L} be the likelihood function which depends on a univariate parameter θ {\displaystyle \theta } and let x {\displaystyle x} be the
Generalized beta distribution (3,865 words) [view diff] no match in snippet view article find links to article
;c\\p+q+t\sigma ;\end{bmatrix}}.} A multivariate generalized beta pdf extends the univariate distributions listed above. For n {\displaystyle n} variables y = ( y
F-distribution (2,099 words) [view diff] no match in snippet view article find links to article
Johnson, Norman Lloyd; Samuel Kotz; N. Balakrishnan (1995). Continuous Univariate Distributions, Volume 2 (Second Edition, Section 27). Wiley. ISBN 0-471-58494-0
Complex normal distribution (2,336 words) [view diff] no match in snippet view article find links to article
relation matrix C {\displaystyle C} . The standard complex normal is the univariate distribution with μ = 0 {\displaystyle \mu =0} , Γ = 1 {\displaystyle
Minimum mean square error (7,671 words) [view diff] no match in snippet view article find links to article
In statistics and signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE),
Plot (graphics) (2,530 words) [view diff] no match in snippet view article
plotted on a simple scale. Dot plots are used for continuous, quantitative, univariate data. Data points may be labelled if there are few of them. Dot plots
Binomial distribution (6,752 words) [view diff] no match in snippet view article find links to article
Generation, New York: Springer-Verlag. (See especially Chapter X, Discrete Univariate Distributions) Kachitvichyanukul, V.; Schmeiser, B. W. (1988). "Binomial
Calibration (statistics) (1,086 words) [view diff] no match in snippet view article
multi-class classification tasks is given by Gebel (2009) . The following univariate calibration methods exist for transforming classifier scores into class
Probabilistic classification (917 words) [view diff] no match in snippet view article find links to article
multiclass case, one can use a reduction to binary tasks, followed by univariate calibration with an algorithm as described above and further application
2011 United Kingdom census (6,587 words) [view diff] no match in snippet view article find links to article
Statistics – KS (same as in 2001) Quick Statistics – QS (formerly Univariate (UV) tables) Local Characteristics – LC (formerly Census Area Statistics
Greenbook (696 words) [view diff] no match in snippet view article find links to article
Research paper by Faust and Wright finds: "For inflation we find that univariate methods are dominated by the best atheoretical large dataset methods and
Infinite divisibility (probability) (830 words) [view diff] no match in snippet view article
ISBN 978-0-521-55302-5. Johnson, N.L., Kotz, S., Balakrishnan, N. (1995) Continuous Univariate Distributions, Volume 2, 2nd Edition. Wiley, ISBN 0-471-58494-0 (Chapter
Gompertz distribution (1,293 words) [view diff] no match in snippet view article find links to article
Johnson, Norman L.; Kotz, Samuel; Balakrishnan, N. (1995). Continuous Univariate Distributions. 2 (2nd ed.). New York: John Wiley & Sons. pp. 25–26. ISBN 0-471-58494-0
Spearman's rank correlation coefficient (2,443 words) [view diff] no match in snippet view article find links to article
correlation Scale types. Lehman, Ann (2005). Jmp For Basic Univariate And Multivariate Statistics: A Step-by-step Guide. Cary, NC: SAS Press. p. 123. ISBN 978-1-59047-576-8
Heteroscedasticity (2,660 words) [view diff] no match in snippet view article find links to article
for heteroscedasticity between grouped data, used most commonly in the univariate case, has also been extended for the multivariate case, but a tractable
World Programming System (956 words) [view diff] no match in snippet view article find links to article
STDSIZE, STEPDISC, SUMMARY, SURVEYSELECT, TPSPLINE, TRANSREG, TREE, TTEST, UNIVARIATE, VARCLUS, VARCOMP Support for time series procedures ARIMA, AUTOREG, EXPAND
Quadratic equation (6,230 words) [view diff] no match in snippet view article find links to article
Because the quadratic equation involves only one unknown, it is called "univariate". The quadratic equation only contains powers of x that are non-negative
Histogram (3,017 words) [view diff] no match in snippet view article find links to article
Modern Applied Statistics with S (2002), Springer, 4th edition. ISBN 0-387-95457-0. "EXCEL Univariate: Histogram". Online Statistics Education: A Multimedia
Estimation theory (2,611 words) [view diff] no match in snippet view article find links to article
Voinov, M.S.Nikulin, "Unbiased estimators and their applications. Vol.1: Univariate case", Kluwer Academic Publishers, 1993, ISBN 0-7923-2382-3. V.G.Voinov
Skewness (3,854 words) [view diff] no match in snippet view article find links to article
and Graphical Statistics. 13 (4): 996–1017. doi:10.1198/106186004X12632. Johnson, NL, Kotz, S, Balakrishnan N (1994) Continuous Univariate Distributions
Laplace distribution (2,344 words) [view diff] no match in snippet view article find links to article
Cambridge Dictionary of Statistics, CUP. ISBN 0-521-81099-X Johnson, N.L., Kotz S., Balakrishnan, N. (1994) Continuous Univariate Distributions, Wiley.
Projection pursuit regression (1,808 words) [view diff] no match in snippet view article find links to article
It uses univariate regression functions instead of their multivariate form, thus effectively dealing with the curse of dimensionality Univariate regression
Herman Wold (1,085 words) [view diff] no match in snippet view article find links to article
Russian mathematicians, principally A. Ya. Khinchin. Wold's results on univariate time series were generalized to multivariate time series by his student
Studentized residual (1,530 words) [view diff] no match in snippet view article find links to article
residual distributions at different data points, unlike point estimators of univariate distributions, which share a common distribution for residuals. For this
Log-normal distribution (7,907 words) [view diff] no match in snippet view article find links to article
Continuous univariate distributions. Vol. 1, Wiley Series in Probability and Mathematical Statistics: Applied Probability and Statistics (2nd ed.), New
Granger causality (2,726 words) [view diff] no match in snippet view article find links to article
Granger-cause y, one first finds the proper lagged values of y to include in a univariate autoregression of y: y t = a 0 + a 1 y t − 1 + a 2 y t − 2 + ⋯ + a m y
Imputation (statistics) (1,998 words) [view diff] no match in snippet view article
measured variables. Thus, mean imputation has some attractive properties for univariate analysis but becomes problematic for multivariate analysis. Regression
Geometric Poisson distribution (419 words) [view diff] no match in snippet view article find links to article
p. 412. Özel & İnal 2010. Johnson, N.L.; Kotz, S.; Kemp, A.W. (2005). Univariate Discrete Distributions (3rd ed.). New York: Wiley. Nuel, Grégory (March
Box–Behnken design (601 words) [view diff] no match in snippet view article find links to article
points", as in central composite designs, but, in this case, to estimate univariate cubic and quartic effects, with length α = min(2, (int(1.5 + K/4))1/2)
Pao-Lu Hsu (1,161 words) [view diff] no match in snippet view article find links to article
obtains the first optimum property for the likelihood ratio test of the univariate linear hypothesis, in fact essentially the first nonlocal optimum property
Student's t-test (4,964 words) [view diff] no match in snippet view article find links to article
usually positively correlated, it is not advisable to conduct separate univariate t-tests to test hypotheses, as these would neglect the covariance among
Generalized Pareto distribution (2,385 words) [view diff] no match in snippet view article find links to article
in Statistics - Theory and Methods. 0: 1–25. doi:10.1080/03610926.2018.1441418. N. L. Johnson; S. Kotz; N. Balakrishnan (1994). Continuous Univariate Distributions
Birnbaum–Saunders distribution (1,123 words) [view diff] no match in snippet view article find links to article
Journal of Statistics, 13 (3): 171–183, doi:10.2307/3315148, JSTOR 3315148 Johnson, N.; Kotz, S.; Balakrishnan, N. (1995), Continuous Univariate Distributions
Regression analysis (5,040 words) [view diff] no match in snippet view article find links to article
convenient form for f {\displaystyle f} is chosen. For example, a simple univariate regression may propose f ( X i , β ) = β 0 + β 1 X i {\displaystyle f(X_{i}
Zero-inflated model (990 words) [view diff] no match in snippet view article find links to article
JSTOR 1269547. Johnson, Norman L.; Kotz, Samuel; Kemp, Adrienne W. (1992). Univariate Discrete Distributions (2nd ed.). Wiley. pp. 312–314. ISBN 978-0-471-54897-3
Calibration curve (1,160 words) [view diff] no match in snippet view article find links to article
ISBN 0-495-01201-7. Lavagnini I, Magno F (2007). "A statistical overview on univariate calibration, inverse regression, and detection limits: Application to
Wishart distribution (3,865 words) [view diff] no match in snippet view article find links to article
Seber prefers to reserve the term multivariate for the case when all univariate marginals belong to the same family. The Wishart distribution is the sampling
Olympic medal table (2,308 words) [view diff] no match in snippet view article find links to article
particular ranking system. Sporting success predictions and ratings can be univariate, i.e. based on one independent variable, such as a country's population
Hypoexponential distribution (1,628 words) [view diff] no match in snippet view article find links to article
Stochastic Models, 15(4), 731–757. L. Leemis and J. McQueston (2008). Univariate distribution relationships, The American Statistician, 62(1), 45—53. S
Multivariate adaptive regression spline (3,299 words) [view diff] no match in snippet view article find links to article
extensions to include moving average spline models are described in "Univariate Time Series Modelling and Forecasting using TSMARS: A study of threshold
Modifiable areal unit problem (1,859 words) [view diff] no match in snippet view article find links to article
ecological bias caused by spatial data aggregation. Using simulations for univariate data, Larsen advocated the use of a Variance Ratio to investigate the
Peter Whittle (mathematician) (1,433 words) [view diff] no match in snippet view article
Series, generalised Wold's autoregressive representation theorem for univariate stationary processes to multivariate processes. Whittle's thesis was published
Data analysis (5,130 words) [view diff] no match in snippet view article find links to article
Several analyses can be used during the initial data analysis phase: Univariate statistics (single variable) Bivariate associations (correlations) Graphical
Standard deviation (7,981 words) [view diff] no match in snippet view article find links to article
square root of the average value of (X − μ)2. The standard deviation of a (univariate) probability distribution is the same as that of a random variable having
Beta prime distribution (1,369 words) [view diff] no match in snippet view article find links to article
1007/BF02613934. Johnson, N.L., Kotz, S., Balakrishnan, N. (1995). Continuous Univariate Distributions, Volume 2 (2nd Edition), Wiley. ISBN 0-471-58494-0 MathWorld
Bootstrapping (statistics) (6,786 words) [view diff] no match in snippet view article
not heavy tailed, one should hesitate to use the naive bootstrap". In univariate problems, it is usually acceptable to resample the individual observations
Colegio San José (San Juan, Puerto Rico) (978 words) [view diff] no match in snippet view article
F-test of equality of variances (827 words) [view diff] no match in snippet view article find links to article
University Press. Johnson, N.L., Kotz, S., Balakrishnan, N. (1995) Continuous Univariate Distributions, Volume 2, Wiley. ISBN 0-471-58494-0 (Section 27.1) Box
Autocorrelation (5,234 words) [view diff] no match in snippet view article find links to article
Spectral Analysis for Physical Applications: Multitaper and Conventional Univariate Techniques. Cambridge University Press. pp. 190–195. ISBN 978-0-521-43541-3
Holtsmark distribution (1,476 words) [view diff] no match in snippet view article find links to article
ISBN 978-0-8218-4519-6. holtsmark. Nolan, J. P. (2008). "Basic Properties of Univariate Stable Distributions" (PDF). Stable Distributions: Models for Heavy Tailed
Bayesian multivariate linear regression (2,690 words) [view diff] no match in snippet view article find links to article
likelihood and then find the appropriate conjugate prior. As with the univariate case of linear Bayesian regression, we will find that we can specify a
Sexual dimorphism measures (2,586 words) [view diff] no match in snippet view article find links to article
A.I. (2000) A measure of sexual dimorphism in populations which are univariate normal mixtures. Bull. Math. Biol. 62: 925-941. Ipiña, S.L. and Durand
Pareto distribution (5,232 words) [view diff] no match in snippet view article find links to article
Kotz S, Balakrishnan N (1994) Continuous univariate distributions Vol 1. Wiley Series in Probability and Statistics. Johnson, Kotz, and Balakrishnan (1994)
Chi-squared distribution (5,594 words) [view diff] no match in snippet view article find links to article
(1994). "Chi-Square Distributions including Chi and Rayleigh". Continuous Univariate Distributions. 1 (Second ed.). John Wiley and Sons. pp. 415–493. ISBN 978-0-471-58495-7
Further Mathematics (1,044 words) [view diff] no match in snippet view article find links to article
usually by the school or teacher) from a list of four. The core modules are Univariate Data, Bivariate Data, Time Series, Number Patterns and Business-Related
Optimal discriminant analysis and classification tree analysis (477 words) [view diff] no match in snippet view article find links to article
AU - Soltysik, Robert C. TI - Theoretical Distributions of Optima for Univariate Discrimination of Random Data* JO - Decision Sciences VL - 22 IS - 4 PB
Mixture model (7,783 words) [view diff] no match in snippet view article find links to article
used to generate multivariate tail-dependencies consistent with a set of univariate and (in some sense) bivariate moments. The performance of this method
Geometric median (2,428 words) [view diff] no match in snippet view article find links to article
the geometric median coincides with the median. This is because the univariate median also minimizes the sum of distances from the points. The geometric
Harmonic mean (5,543 words) [view diff] no match in snippet view article find links to article
Kotz S, Balakrishnan N (1994) Continuous univariate distributions Vol 1. Wiley Series in Probability and Statistics. Zelen M (1972) Length-biased sampling
Alfred Aeppli (332 words) [view diff] no match in snippet view article find links to article
Naval Research Logistics Quarterly. 15: 189–203. Johnson, N.L.; Kotz, S.; Kemp, A.W. (2005). Univariate Discrete Distributions (3rd ed.). New York: Wiley.
Zipf's law (2,990 words) [view diff] no match in snippet view article find links to article
Applied Statistics. 42 (12): 2686–2693. arXiv:1506.08535. doi:10.1080/02664763.2015.1047744. N. L. Johnson; S. Kotz & A. W. Kemp (1992). Univariate Discrete
Autoregressive integrated moving average (2,998 words) [view diff] no match in snippet view article find links to article
series analysis – univariate time series analysis: AR, ARIMA – vector autoregressive models, VAR and structural VAR – descriptive statistics and process models
Truncated distribution (1,474 words) [view diff] no match in snippet view article find links to article
ISBN 0-19-920613-9 Johnson, N.L., Kotz, S., Balakrishnan, N. (1994) Continuous Univariate Distributions, Volume 1, Wiley. ISBN 0-471-58495-9 (Section 10.1)
Inverse distribution (1,345 words) [view diff] no match in snippet view article find links to article
Norman L.; Kotz, Samuel; Balakrishnan, Narayanaswamy (1994). Continuous Univariate Distributions, Volume 1. Wiley. p. 171. ISBN 0-471-58495-9. Hayya, Jack;
Paris Institute of Statistics (684 words) [view diff] no match in snippet view article find links to article
Analysis 'Univariate and multivariate' Statistics Software SAS Economics Stochastic processes Linear regression models Econometrics Inferential statistics Corporate
Gaussian process (4,365 words) [view diff] no match in snippet view article find links to article
t 1 , … , X t k ) {\displaystyle (X_{t_{1}},\ldots ,X_{t_{k}})} has a univariate normal (or Gaussian) distribution. Using characteristic functions of random
Compound Poisson distribution (2,059 words) [view diff] no match in snippet view article find links to article
functions. London: Griffin. Johnson, N.L., Kemp, A.W., and Kotz, S. (2005) Univariate Discrete Distributions, 3rd Edition, Wiley, ISBN 978-0-471-27246-5. Huiming
Central limit theorem (8,280 words) [view diff] no match in snippet view article find links to article
k-vector. The bold in Xi means that it is a random vector, not a random (univariate) variable. Then the sum of the random vectors will be [ X 1 ( 1 ) ⋮ X
De-sparsified lasso (629 words) [view diff] no match in snippet view article find links to article
covariables x i ∈ χ ⊂ R p {\displaystyle x_{i}\in \chi \subset R^{p}} and univariate responses y i ∈ Y ⊂ R {\displaystyle y_{i}\in Y\subset R} for i = 1 ,
Michael Akritas (523 words) [view diff] no match in snippet view article find links to article
1032–1038. Akritas, M.G. (1988). Pearson-Type Goodness-of-Fit Tests: The Univariate Case. J. Amer. Statist. Assoc. 83, 222–230. Akritas, M.G. (1990). The
Reduced chi-squared statistic (1,788 words) [view diff] no match in snippet view article find links to article
usage in isotopic dating. In general when: MSWD = 1 if the age data fit a univariate normal distribution in t (for the arithmetic mean age) or log(t) (for
Karl Pearson (5,956 words) [view diff] no match in snippet view article find links to article
descriptive statistics and for the fitting of distributions to samples. Pearson's system of continuous curves. A system of continuous univariate probability
Principal component regression (5,089 words) [view diff] no match in snippet view article find links to article
carrying out k {\displaystyle k} independent simple linear regressions (or univariate regressions) separately on each of the k {\displaystyle k} selected principal
Multitaper (1,204 words) [view diff] no match in snippet view article find links to article
Spectral Analysis for Physical Applications: Multitaper and Conventional Univariate Techniques. Cambridge: Cambridge University Press, 1993. Slepian, D. (1978)
Coordinate descent (1,571 words) [view diff] no match in snippet view article find links to article
achieved by minimizing it along one direction at a time, i.e., solving univariate (or at least much simpler) optimization problems in a loop. In the simplest
Raymond Cattell (8,259 words) [view diff] no match in snippet view article find links to article
psychological aspect especially personality aspect. Rather than pursue a "univariate" research approach to psychology, studying the effect that a single variable
METAGENassist (720 words) [view diff] no match in snippet view article find links to article
normalization. METAGENassist also supports an extensive collection of classical univariate and multivariate analyses, such as fold-change analysis, t-tests, one-way
Tilapia (3,821 words) [view diff] no match in snippet view article find links to article
Rajesh (2019-08-05). "Genomic prediction for commercial traits using univariate and multivariate approaches in Nile tilapia (Oreochromis niloticus)".
Student's t-distribution (7,527 words) [view diff] no match in snippet view article find links to article
Johnson NL, Kotz S, Balakrishnan N (1995). "Chapter 28". Continuous Univariate Distributions. 2 (2nd ed.). Wiley. ISBN 9780471584940. Gelman AB, Carlin
Maximum likelihood estimation (9,362 words) [view diff] no match in snippet view article find links to article
) {\displaystyle f_{n}(\mathbf {y} ;\theta )} will be the product of univariate density functions. The goal of maximum likelihood estimation is to find
Generalized functional linear model (2,868 words) [view diff] no match in snippet view article find links to article
extension of the generalized linear model (GLM) that allows one to regress univariate responses of various types (continuous or discrete) on functional predictors
Generalized gamma distribution (918 words) [view diff] no match in snippet view article find links to article
Annals of Mathematical Statistics 33(3): 1187-1192. JSTOR 2237889 Johnson, N.L.; Kotz, S; Balakrishnan, N. (1994) Continuous Univariate Distributions, Volume
Stochastic volatility (2,045 words) [view diff] no match in snippet view article find links to article
University Press. p. 461. ISBN 9781107661455. Ghalanos, Alexios. "rugarch: Univariate GARCH models". Ardia, David; Hoogerheide, Lennart F. (2010). "Bayesian
Convex hull (6,093 words) [view diff] no match in snippet view article find links to article
are used in a standard definition of the home range. Newton polygons of univariate polynomials and Newton polytopes of multivariate polynomials are convex
Dirichlet distribution (5,853 words) [view diff] no match in snippet view article find links to article
when scale and rate equal 1.0. A less efficient algorithm relies on the univariate marginal and conditional distributions being beta and proceeds as follows
Multimodal distribution (6,068 words) [view diff] no match in snippet view article find links to article
RP (1979). "An algorithm for assessing bimodality vs. unimodality in a univariate distribution". Behavior Research Methods & Instrumentation. 11 (4): 467–468
Propagation of uncertainty (3,149 words) [view diff] no match in snippet view article find links to article
(1994). Continuous Univariate Distributions, Volume 1. Wiley. p. 171. ISBN 0-471-58495-9. Lecomte, Christophe (May 2013). "Exact statistics of systems with
Linear predictor function (2,210 words) [view diff] no match in snippet view article find links to article
There is no particular need for the inputs to basis functions to be univariate or single-dimensional (or their outputs, for that matter, although in
PERT distribution (652 words) [view diff] no match in snippet view article find links to article
distribution". Vose Software. 2017-05-02. Retrieved 2017-07-16. Continuous Univariate Distributions - 2nd Ed (1995). Johnson K, Kotz S and Balakkrishnan N.
Heavy-tailed distribution (2,595 words) [view diff] no match in snippet view article find links to article
1023/A:1010012224103. Markovich N.M. (2007). Nonparametric Analysis of Univariate Heavy-Tailed data: Research and Practice. Chitester: Wiley. ISBN 978-0-470-72359-3
Newton's method in optimization (2,775 words) [view diff] no match in snippet view article find links to article
optimization is minimization of functions. Let us first consider the case of univariate functions, i.e., functions of a single real variable. We will later consider
Glossary of calculus (10,695 words) [view diff] no match in snippet view article find links to article
is a quadratic equation. The solutions to the univariate equation are called the roots of the univariate function. The bivariate case in terms of variables
Fan chart (time series) (836 words) [view diff] no match in snippet view article
2011-03-11. Kotz, S. Johnson, M. and N. Balakrishnan (1994). Continuous univariate distributions. 1. John Wiley & Sons. Retrieved 11 March 2011.CS1 maint:
Fang Kaitai (1,551 words) [view diff] no match in snippet view article find links to article
suggested that Fang provide a multivariate generalization and correction of a univariate result, which had been given an incomplete proof in a Russian paper. With
Hodrick–Prescott filter (1,101 words) [view diff] no match in snippet view article find links to article
Hodrick-Prescott Filter" (PDF). Working Paper. Enders, Walter (2010). "Trends and Univariate Decompositions". Applied Econometric Time Series (Third ed.). New York:
Singular spectrum analysis (6,752 words) [view diff] no match in snippet view article find links to article
missing data (Kondrashov and Ghil, 2006; Kondrashov et al. 2010). For a univariate time series, the SSA gap filling procedure utilizes temporal correlations
Unbiased estimation of standard deviation (2,962 words) [view diff] no match in snippet view article find links to article
Industrial Statistics 4th Ed., Irwin (1974) ISBN 0-256-01558-9, p.139 * N.L. Johnson, S. Kotz, and N. Balakrishnan, Continuous Univariate Distributions
Benford's law (6,138 words) [view diff] no match in snippet view article find links to article
1 and Benford's Law". Numberphile. Brady Haran. Interactive graphic: Univariate Distribution Relationships Referenced in S2 E15, "The Running Man" of
Actuarial credentialing and exams (4,080 words) [view diff] no match in snippet view article find links to article
mathematics, economics, contingencies, demography, models, probability and statistics. Students may also gain exemptions by passing the exams of the Institute
Error correction model (1,877 words) [view diff] no match in snippet view article find links to article
approach is easy to apply, there are, however numerous problems: The univariate unit root tests used in the first stage have low statistical power The
Yates analysis (1,258 words) [view diff] no match in snippet view article find links to article
has been selected, the error term should follow the assumptions for a univariate measurement process. That is, the model should be validated by analyzing
Gauss Moutinho Cordeiro (3,728 words) [view diff] no match in snippet view article find links to article
para Análise de Dados Univariados (Regression Models for Analysis of Univariate Data). Printed by Sociedade Brasileira de Matemática (SBM), 1989. Modelos
Anthropometry (3,397 words) [view diff] no match in snippet view article find links to article
automatically. Eighty landmarks were placed on each subject. More than 100 univariate measures were provided, over 60 from the scan and approximately 40 using
Spline (mathematics) (4,552 words) [view diff] no match in snippet view article
restricted sense.[citation needed] We begin by limiting our discussion to univariate polynomial case. In this case, a spline is a piecewise polynomial function
Herman K. van Dijk (782 words) [view diff] no match in snippet view article find links to article
censored data, and duration data) and the econometrics of time series data (univariate time series, trends, volatility, vector autoregressions, and a brief discussion
Abraham de Moivre (2,493 words) [view diff] no match in snippet view article find links to article
doi:10.1093/biomet/16.3-4.402. Johnson, N.L., Kotz, S., Kemp, A.W. (1993) Univariate Discrete distributions (2nd edition). Wiley. ISBN 0-471-54897-9, p157
K-means clustering (6,440 words) [view diff] no match in snippet view article find links to article
Lloyd's algorithm. Jenks natural breaks optimization: k-means applied to univariate data k-medians clustering uses the median in each dimension instead of
Anil K. Bera (3,827 words) [view diff] no match in snippet view article find links to article
hdl:2142/29151. Bera, Anil K.; Newbold, P. (1998). "Checks of Model Adequacy for Univariate Time Series Models and Their Applications to Econometric Relationships:
Sensitivity analysis (7,893 words) [view diff] no match in snippet view article find links to article
outputs: Virtually all sensitivity analysis methods consider a single univariate model output, yet many models output a large number of possibly spatially
Philip Hans Franses (1,379 words) [view diff] no match in snippet view article find links to article
censored data, and duration data) and the econometrics of time series data (univariate time series, trends, volatility, vector autoregressions, and a brief discussion
Information-based complexity (2,338 words) [view diff] no match in snippet view article find links to article
information level and the complexity of a discrete problem is rarely known. The univariate integration problem was for illustration only. Significant for many applications
Andrew S. C. Ehrenberg (2,003 words) [view diff] no match in snippet view article find links to article
in particular as it reduces to the simple NBD model. They labelled the univariate model as the Beta Binomial/Negative Binomial Distribution (BB/NBD). The
Beta distribution (40,031 words) [view diff] no match in snippet view article find links to article
a multivariate Beta distribution, is called a Dirichlet distribution. Univariate marginals of the Dirichlet distribution have a beta distribution. The
Mutual information (7,786 words) [view diff] no match in snippet view article find links to article
understood as the expectation of the Kullback–Leibler divergence of the univariate distribution p X {\displaystyle p_{X}} of X {\displaystyle X} from the
Agustín Maravall (1,538 words) [view diff] no match in snippet view article find links to article
GÓMEZ, V. and MARAVALL, A. (2001a), "Automatic Modeling Methods for Univariate Series", Ch.7 in Peña D., Tiao G.C. and Tsay, R.S. (eds.), A Course in
Heritability (5,219 words) [view diff] no match in snippet view article find links to article
differences between individuals in a population. Heritability can be univariate – examining a single trait – or multivariate – examining the genetic and
Multi-armed bandit (6,233 words) [view diff] no match in snippet view article find links to article
distributions of outcomes follow arbitrary (i.e., non-parametric) discrete, univariate distributions. Later in "Optimal adaptive policies for Markov decision
Noncentral hypergeometric distributions (2,340 words) [view diff] no match in snippet view article find links to article
problem Bias Biased sample Johnson, N. L.; Kemp, A. W.; Kotz, S. (2005), Univariate Discrete Distributions, Hoboken, New Jersey: Wiley and Sons. McCullagh
Occupational health psychology (9,780 words) [view diff] no match in snippet view article find links to article
Quinn, R.P. et al. (1971). Survey of working conditions: Final report on univariate and bivariate tables, Document No. 2916-0001. Washington, DC: U.S. Government
Financial correlation (4,196 words) [view diff] no match in snippet view article find links to article
Copulas simplify statistical problems. They allow the joining of multiple univariate distributions to a single multivariate distribution. Formally, a copula
Metabolomics (6,246 words) [view diff] no match in snippet view article find links to article
metabolomics data analysis. In the case of univariate methods, variables are analyzed one by one using classical statistics tools (such as Student's t-test, ANOVA
Natural selection (11,532 words) [view diff] no match in snippet view article find links to article
more than one direction. In particular, if the trait is quantitative and univariate then both higher and lower trait levels are favoured. Disruptive selection
Emery N. Brown (3,920 words) [view diff] no match in snippet view article find links to article
spiking activity and binary behavioral tasks represented as multivariate or univariate point processes (0-1 events that occur in continuous time), his research
Value at risk (5,626 words) [view diff] no match in snippet view article find links to article
ISBN 978-0995455511 Markovich, N. (2007), Nonparametric analysis of univariate heavy-tailed data, Wiley Novak, S.Y. (2011). Extreme value methods with
Insurance (13,540 words) [view diff] no match in snippet view article find links to article
analyses are sometimes used when multiple characteristics are involved and a univariate analysis could produce confounded results. Other statistical methods may
Speed of light (13,718 words) [view diff] no match in snippet view article find links to article
Standards and Technology, NIST) Data Gallery: Michelson Speed of Light (Univariate Location Estimation) (download data gathered by Albert A. Michelson) Subluminal
Tawau (6,644 words) [view diff] no match in snippet view article find links to article
K. Assis, A. Amran, Y. Remali and H. Affendy (2010). "A Comparison of Univariate Time Series Methods for Forecasting Cocoa Bean Prices" (PDF). Universiti
Hermite distribution (3,274 words) [view diff] no match in snippet view article find links to article
insmatheco.2014.09.012. Johnson, N.L., Kemp, A.W., and Kotz, S. (2005) Univariate Discrete Distributions, 3rd Edition, Wiley, ISBN 978-0-471-27246-5. Kemp
Flow cytometry bioinformatics (7,692 words) [view diff] no match in snippet view article find links to article
analysis method in which flow cytometry data is split into quantiles on a univariate basis. The locations of the quantiles can then be used to test for differences
List of uncertainty propagation software (1,597 words) [view diff] no match in snippet view article find links to article
EDF R&D, IMACS, Phimeca). It contains state of the art algorithms for univariate, multivariate and infinite dimensional probabilistic modelling (arithmetic
Eberhard Voit (1,114 words) [view diff] no match in snippet view article find links to article
: The S-distribution. A tool for approximation and classification of univariate, unimodal probability distributions. ‘’Biometrical J. ‘’ ‘’’34 (7) ‘’’
Medical image computing (7,953 words) [view diff] no match in snippet view article find links to article
neuroscience, computational biology, statistics, and machine learning communities. Prominent approaches include Massive univariate approaches that probe individual
List of numerical analysis topics (8,294 words) [view diff] no match in snippet view article find links to article
constraints — constraints include variational inequalities or complementarities Univariate optimization: Golden section search Successive parabolic interpolation
Vector generalized linear model (4,737 words) [view diff] no match in snippet view article find links to article
to be generated from a particular distribution. Most distributions are univariate, so that Q 1 = 1 {\displaystyle Q_{1}=1} , and an example of Q 1 = 2 {\displaystyle
Genome-wide complex trait analysis (4,461 words) [view diff] no match in snippet view article find links to article
non-additive genetics driven by frequency-dependent selection). Traits univariate GCTA has been used on (excluding SNP heritability estimates computed using
Predictive genomics (3,250 words) [view diff] no match in snippet view article find links to article
with SNPs. Currently, the prevailing standard of risk models focus on univariate analysis rather than focusing upon interactions of higher order. Therefore
Product distribution (7,902 words) [view diff] no match in snippet view article find links to article
Johnson, Norman L.; Kotz, Samuel; Balakrishnan, N. (1995). Continuous Univariate Distributions Volume 2, Second edition. Wiley. p. 306. ISBN 978-0-471-58494-0
Laplace's method (6,670 words) [view diff] no match in snippet view article find links to article
{\displaystyle |\cdot |} denotes matrix determinant. Analogously to the univariate case, the Hessian is required to be negative definite. By the way, although
HPV-positive oropharyngeal cancer (24,013 words) [view diff] no match in snippet view article find links to article
radiation in 410 patients with a single lymph node involved, but used only univariate statistical analysis and contained no information on HPV status. A subsequent