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Longer titles found: Linear regression (disambiguation) (view), Simple linear regression (view), Bayesian linear regression (view), Nonlinear regression (view), Bayesian multivariate linear regression (view)

searching for Linear regression 55 found (1247 total)

alternate case: linear regression

Kernel smoother (1,484 words) [view diff] exact match in snippet view article find links to article

to use the weighted average for the estimation. The idea of local linear regression is to fit locally a straight line (or a hyperplane for higher dimensions)

Lineweaver–Burk plot (1,032 words) [view diff] exact match in snippet view article find links to article

avoided to calculate the kinetic parameters. Properly weighted non-linear regression methods are significantly more accurate and have become generally

Species discovery curve (521 words) [view diff] exact match in snippet view article find links to article

kind of functional form to the curve, either by eye or by using non-linear regression techniques. Commonly used functional forms include the logarithmic

Proxy (statistics) (361 words) [view diff] exact match in snippet view article

Trenkler (1992). "Proxy variables and mean square error dominance in linear regression". Journal of Quantitative Economics. 8: 433–442. Stahlecker, Peter;

FMLLR (1,552 words) [view diff] case mismatch in snippet view article find links to article

In signal processing, Feature space Maximum Likelihood Linear Regression (fMLLR) is a global feature transform that are typically applied in a speaker

Linear belief function (3,955 words) [view diff] exact match in snippet view article find links to article

functions, including proper belief functions, linear equations, and linear regression models. For variables X and Y, assume there exists a piece of evidence

Pyrrho's lemma (193 words) [view diff] exact match in snippet view article find links to article

adds just one extra variable as a regressor from a suitable set to a linear regression model, one can get any desired outcome in terms of the coefficients

Random search (1,003 words) [view diff] exact match in snippet view article find links to article

MATLAB code reproducing the sequential procedure for the general non-linear regression of an example mathematical model can be found here (JCFit @ GitHub)

SegReg (806 words) [view diff] exact match in snippet view article find links to article

numerically by adopting a series tentative breakpoints and performing a linear regression at both sides of them. The tentative breakpoint that provides the

Sports betting systems (1,091 words) [view diff] exact match in snippet view article find links to article

the case of sports betting this is usually done with multivariate linear regression. Because sports events are very complicated and there are many factors

GenGIS (195 words) [view diff] exact match in snippet view article find links to article

developed using a plugin framework. Standard statistical test such as linear regression and Mantel are provided, and the R statistical language can be accessed

Repeated median regression (568 words) [view diff] exact match in snippet view article find links to article

regression, also known as the repeated median estimator, is a robust linear regression algorithm. The estimator has a breakdown point of 50%. Although it

Sufficient dimension reduction (1,769 words) [view diff] no match in snippet view article find links to article

In statistics, sufficient dimension reduction (SDR) is a paradigm for analyzing data that combines the ideas of dimension reduction with the concept of

Venansius Baryamureeba (1,581 words) [view diff] exact match in snippet view article find links to article

cyberspace crimes On the properties of preconditioners for robust linear regression On a class of preconditioners for interior point methods Wakabi-Waiswa

Ulrike Grömping (200 words) [view diff] exact match in snippet view article find links to article

variable importance, and for her R package relaimpo for performing linear regression with relative importance. She is Professor for Applied Statistics

Generalized functional linear model (2,869 words) [view diff] case mismatch in snippet view article find links to article

a smooth parameter function β {\displaystyle \beta } . Functional Linear Regression, Functional Poisson Regression and Functional Binomial Regression

John Neter (302 words) [view diff] case mismatch in snippet view article find links to article

Applied Linear Regression Models, (McGraw-Hill College, May 2004) John Neter, Student Solutions Manual for Use With Applied Linear Regression Models (3rd)

Proxy-based estimating (303 words) [view diff] exact match in snippet view article find links to article

tasks that correspond to these types and sizes. A formula based on linear regression is used to calculate the estimate for each task. Additional information

Mulliken population analysis (840 words) [view diff] exact match in snippet view article find links to article

molecular orbital method, and are routinely used as variables in linear regression (QSAR) procedures. The method was developed by Robert S. Mulliken

Knockoffs (statistics) (628 words) [view diff] exact match in snippet view article

framework for variable selection. It was originally introduced for linear regression by Rina Barber and Emmanuel Candès, and later generalized to other

Stata (1,787 words) [view diff] exact match in snippet view article find links to article

cars Linear regression: generate wtsq = weight^2 // Create a new variable for weight squared regress mpg weight wtsq foreign, vce(robust) // Linear regression

Sliced inverse regression (1,511 words) [view diff] exact match in snippet view article find links to article

category of regression. For example, parametric methods include multiple linear regression, and non-parametric methods include local smoothing. As the number

Causal inference (4,407 words) [view diff] exact match in snippet view article find links to article

Particular concern is raised in the use of regression models, especially linear regression models. Inferring the cause of something has been described as: "

Cook's distance (3,666 words) [view diff] exact match in snippet view article find links to article

ordinary linear regression, i.e., h i j = h j i {\displaystyle h_{ij}=h_{ji}} . Since this is not always the case, e.g., in weighted linear regression, the

Nico Nagelkerke (145 words) [view diff] exact match in snippet view article find links to article

number of generalisations of the coefficient of determination from linear regression to logistic regression, see Pseudo-R-squared, Coefficient of determination

Multivariate logistic regression (1,615 words) [view diff] exact match in snippet view article find links to article

types of multivariate logistic regression are linear regression and logistic regression. Linear regression produces results that show a linear relationship

Julius Weisbach (650 words) [view diff] exact match in snippet view article find links to article

Weisbach was the first to develop a method for solving orthogonal linear regression problems. He examined the physics of steam engines, thermodynamics

Coefficient of multiple correlation (923 words) [view diff] exact match in snippet view article find links to article

the predicted and the actual values of the dependent variable in a linear regression model that includes an intercept. The square of the coefficient of

Logit (1,513 words) [view diff] exact match in snippet view article find links to article

{(2x-1)^{2n+1}}{2n+1}}.} Several approaches have been explored to adapt linear regression methods to a domain where the output is a probability value ( 0 ,

Stepwise regression (1,481 words) [view diff] case mismatch in snippet view article find links to article

Hocking, R. R. (1976) "The Analysis and Selection of Variables in Linear Regression," Biometrics, 32. Draper, N. and Smith, H. (1981) Applied Regression

Thomas S. Ferguson (643 words) [view diff] case mismatch in snippet view article find links to article

His dissertation had two separately-titled parts, On Existence of Linear Regression in Linear Structural Relations and A Method of Generating Best Asymptotically

GAUSS (software) (165 words) [view diff] case mismatch in snippet view article

Programming MT Solves small and large scale linear programming problems. Linear Regression MT Least squares estimation. Loglinear Analysis MT Analysis of categorical

Social influence bias (1,561 words) [view diff] exact match in snippet view article find links to article

up-votes minus number of down-votes) of the manipulated and control group comments inferred from Bayesian linear regression, 95% confidence intervals shown.

Qualitative comparative analysis (2,543 words) [view diff] exact match in snippet view article find links to article

by Charles Ragin in 1987 to study data sets that are too small for linear regression analysis but large enough for cross-case analysis. In the case of

Crop tolerance to seawater (1,229 words) [view diff] exact match in snippet view article find links to article

yield starts declining. The model is fitted to the data by piecewise linear regression. ^) Many variety names are uncommon as they consist of 3 letters only

Sinusoidal model (629 words) [view diff] exact match in snippet view article find links to article

residuals. A different method consists in transforming the non-linear regression to a linear regression thanks to a convenient integral equation. Then, there is

Goldfeld–Quandt test (1,012 words) [view diff] case mismatch in snippet view article find links to article

doi:10.1080/01621459.1969.10500976. JSTOR 2283741. "lmtest: Testing Linear Regression Models". CRAN. Kleiber, Christian; Zeileis, Achim (2008). Applied

MLAB (858 words) [view diff] exact match in snippet view article find links to article

differential equation-solving (ODE-solving) and curve-fitting (non-linear regression.) It provides more than thirty command types and more than 450 built-in

Cristina Parel (309 words) [view diff] case mismatch in snippet view article find links to article

Paul S. Dwyer, was A Matrix Derivation of Generalized Least Squares Linear Regression with All Variables Subject to Error. She worked at the Statistical

Bootstrap curriculum (1,175 words) [view diff] exact match in snippet view article find links to article

module covers functions, looping and iteration, data visualization, linear regression, and much more. Social studies, science, and business teachers can

Tjalling Koopmans (1,156 words) [view diff] exact match in snippet view article find links to article

under the direction of Hendrik Kramers. The title of the thesis was "Linear regression analysis of economic time series". He also worked for the Economic

Passing–Bablok regression (759 words) [view diff] exact match in snippet view article find links to article

measurements from two different analytical methods. Application of linear regression procedures for method comparison studies in Clinical Chemistry, Part

HP-22S (350 words) [view diff] exact match in snippet view article find links to article

statistical calculators (mean and standard deviation, weighted mean, linear regression) Unit and base conversions The 22S has the same physical form factor

PSPP (641 words) [view diff] exact match in snippet view article find links to article

frequencies, cross-tabs comparison of means (t-tests and one-way ANOVA), linear regression, logistic regression, reliability (Cronbach's alpha, not failure or

Statistical model specification (1,073 words) [view diff] exact match in snippet view article find links to article

Scott; Trivedi, Pravin K. (1993). "Some specification tests for the linear regression model". In Bollen, Kenneth A.; Long, J. Scott (eds.). Testing Structural

Partial inverse of a matrix (691 words) [view diff] exact match in snippet view article find links to article

decomposes into blocks which have useful meanings in the context of linear regression. Tsatsomeros, M. J. (2000). Principal pivot transforms: properties

Variance inflation factor (1,770 words) [view diff] case mismatch in snippet view article find links to article

118. Kutner, M. H.; Nachtsheim, C. J.; Neter, J. (2004). Applied Linear Regression Models (4th ed.). McGraw-Hill Irwin. Sheather, Simon (2009). A modern

Winters's formula (796 words) [view diff] exact match in snippet view article find links to article

PCO2 and plasma bicarbonate. Winter's Formula was derived from a linear regression of this relationship between plasma PCO2 and plasma bicarbonate. There

Sensory neuroscience (928 words) [view diff] exact match in snippet view article find links to article

in what ways. One common way to find the receptive field is to use linear regression to find which stimulus characteristics typically caused neurons to

TI SR-50 (839 words) [view diff] exact match in snippet view article find links to article

among the added functions were the ability to enter x:y pairs and do linear regression analysis on them. The later and lighter versions SR-50A and SR-51II

Outlier (3,491 words) [view diff] exact match in snippet view article find links to article

are often used to detect outliers, especially in the development of linear regression models. Subspace and correlation based techniques for high-dimensional

Correlation function (913 words) [view diff] case mismatch in snippet view article find links to article

Manoranjan; Bharati, Premananda (2019). "Introduction to Correlation and Linear Regression Analysis". Applications of Regression Techniques. Springer, Singapore

Stan (software) (898 words) [view diff] exact match in snippet view article

Gelman, Bob Carpenter, Daniel Lee, Ben Goodrich, and others. A simple linear regression model can be described as y n = α + β x n + ϵ n {\displaystyle y_{n}=\alpha

R2 (543 words) [view diff] exact match in snippet view article find links to article

r2 (pronounced R-squared), the coefficient of determination of a linear regression in statistics R2, the two-dimensional real coordinate space in mathematics

Joseph Mercado (721 words) [view diff] case mismatch in snippet view article find links to article

Gross Domestic Product: A Normal Estimation Equation For Multiple Linear Regression” for the American Institute of Physics’ Journal. List of Polytechnic