Find link

language: af: Afrikaans als: Alemannisch [Alemannic] am: አማርኛ [Amharic] an: aragonés [Aragonese] ar: العربية [Arabic] arz: مصرى [Egyptian Arabic] as: অসমীয়া [Assamese] ast: asturianu [Asturian] az: azərbaycanca [Azerbaijani] azb: تۆرکجه [Southern Azerbaijani] ba: башҡортса [Bashkir] bar: Boarisch [Bavarian] bat-smg: žemaitėška [Samogitian] be: беларуская [Belarusian] be-tarask: беларуская (тарашкевіца) [Belarusian (Taraškievica)] bg: български [Bulgarian] bn: বাংলা [Bengali] bpy: বিষ্ণুপ্রিয়া মণিপুরী [Bishnupriya Manipuri] br: brezhoneg [Breton] bs: bosanski [Bosnian] bug: ᨅᨔ ᨕᨘᨁᨗ [Buginese] ca: català [Catalan] ce: нохчийн [Chechen] ceb: Cebuano ckb: کوردیی ناوەندی [Kurdish (Sorani)] cs: čeština [Czech] cv: Чӑвашла [Chuvash] cy: Cymraeg [Welsh] da: dansk [Danish] de: Deutsch [German] el: Ελληνικά [Greek] en: English eo: Esperanto es: español [Spanish] et: eesti [Estonian] eu: euskara [Basque] fa: فارسی [Persian] fi: suomi [Finnish] fo: føroyskt [Faroese] fr: français [French] fy: Frysk [West Frisian] ga: Gaeilge [Irish] gd: Gàidhlig [Scottish Gaelic] gl: galego [Galician] gu: ગુજરાતી [Gujarati] he: עברית [Hebrew] hi: हिन्दी [Hindi] hr: hrvatski [Croatian] hsb: hornjoserbsce [Upper Sorbian] ht: Kreyòl ayisyen [Haitian] hu: magyar [Hungarian] hy: Հայերեն [Armenian] ia: interlingua [Interlingua] id: Bahasa Indonesia [Indonesian] io: Ido is: íslenska [Icelandic] it: italiano [Italian] ja: 日本語 [Japanese] jv: Basa Jawa [Javanese] ka: ქართული [Georgian] kk: қазақша [Kazakh] kn: ಕನ್ನಡ [Kannada] ko: 한국어 [Korean] ku: Kurdî [Kurdish (Kurmanji)] ky: Кыргызча [Kirghiz] la: Latina [Latin] lb: Lëtzebuergesch [Luxembourgish] li: Limburgs [Limburgish] lmo: lumbaart [Lombard] lt: lietuvių [Lithuanian] lv: latviešu [Latvian] map-bms: Basa Banyumasan [Banyumasan] mg: Malagasy min: Baso Minangkabau [Minangkabau] mk: македонски [Macedonian] ml: മലയാളം [Malayalam] mn: монгол [Mongolian] mr: मराठी [Marathi] mrj: кырык мары [Hill Mari] ms: Bahasa Melayu [Malay] my: မြန်မာဘာသာ [Burmese] mzn: مازِرونی [Mazandarani] nah: Nāhuatl [Nahuatl] nap: Napulitano [Neapolitan] nds: Plattdüütsch [Low Saxon] ne: नेपाली [Nepali] new: नेपाल भाषा [Newar] nl: Nederlands [Dutch] nn: norsk nynorsk [Norwegian (Nynorsk)] no: norsk bokmål [Norwegian (Bokmål)] oc: occitan [Occitan] or: ଓଡ଼ିଆ [Oriya] os: Ирон [Ossetian] pa: ਪੰਜਾਬੀ [Eastern Punjabi] pl: polski [Polish] pms: Piemontèis [Piedmontese] pnb: پنجابی [Western Punjabi] pt: português [Portuguese] qu: Runa Simi [Quechua] ro: română [Romanian] ru: русский [Russian] sa: संस्कृतम् [Sanskrit] sah: саха тыла [Sakha] scn: sicilianu [Sicilian] sco: Scots sh: srpskohrvatski / српскохрватски [Serbo-Croatian] si: සිංහල [Sinhalese] simple: Simple English sk: slovenčina [Slovak] sl: slovenščina [Slovenian] sq: shqip [Albanian] sr: српски / srpski [Serbian] su: Basa Sunda [Sundanese] sv: svenska [Swedish] sw: Kiswahili [Swahili] ta: தமிழ் [Tamil] te: తెలుగు [Telugu] tg: тоҷикӣ [Tajik] th: ไทย [Thai] tl: Tagalog tr: Türkçe [Turkish] tt: татарча/tatarça [Tatar] uk: українська [Ukrainian] ur: اردو [Urdu] uz: oʻzbekcha/ўзбекча [Uzbek] vec: vèneto [Venetian] vi: Tiếng Việt [Vietnamese] vo: Volapük wa: walon [Walloon] war: Winaray [Waray] yi: ייִדיש [Yiddish] yo: Yorùbá [Yoruba] zh: 中文 [Chinese] zh-min-nan: Bân-lâm-gú [Min Nan] zh-yue: 粵語 [Cantonese]

jump to random article

searching for Statistical inference 180 found (1015 total)

alternate case: statistical inference

Ian Hacking (2,362 words) [view diff] case mismatch in snippet view article find links to article

translated into several languages. His works include: Logic of Statistical Inference (1965) A Concise Introduction to Logic (1972) ISBN 039431008X The

Kalbfleisch, J.G. (1985), Probability and Statistical Inference, Springer, §9.3 Azzalini, A. (1996), Statistical Inference — Based on the likelihood, Chapman

result from mathematical modeling and statistical estimation or statistical inference. The two types of research differ in the methods employed, rather

the statistical programming framework Stan. Gelman's approach to statistical inference emphasizes studying variation and the associations between data

estimation and other methodological aspects of the application of statistical inference to economic data, as well as papers dealing with the application

In probability theory, statistics, and machine learning, the continuous Bernoulli distribution is a family of continuous probability distributions parameterized

the deep learning inference using knockoffs (DeepLINK), and the statistical inference on membership profiles in large networks (SIMPLE), as well as some

1016/j.hm.2004.04.001. Casella, George; Roger L. Berger (2001), Statistical Inference (2nd ed.), Thomson Learning, ISBN 978-0-534-24312-8, LCCN 2001025794

series of genomes by using a genome evolution model and standard statistical inference methods (e.g. Bayesian inference or maximum likelihood estimation)

Nonparametric Inference, Birkhauser, Springer, Basel (2012), ix +272 pp. Statistical Inference for Fractional Diffusion Processes, John Wiley, Chichester (2010)

In probability theory and statistics, the Laplace distribution is a continuous probability distribution named after Pierre-Simon Laplace. It is also sometimes

theorem is perhaps one of the best ways for a probabilist ignorant of statistical inference to get a quick impression of the flavor of that subject. Alexander

information relative to the actual likelihood. Standard approaches to statistical inference that are used with maximum likelihood estimates, such as the formation

Predictive Inference: An Introduction, he held that conventional statistical inference about unobservable population parameters amounts to inference about

The folded normal distribution is a probability distribution related to the normal distribution. Given a normally distributed random variable X with mean

Algebraic statistics is the use of algebra to advance statistics. Algebra has been useful for experimental design, parameter estimation, and hypothesis

B. (June 1927), "Probable inference, the law of succession, and statistical inference" (PDF), Journal of the American Statistical Association, 22 (158):

also awarded him the Adams Prize in 1987 for an essay entitled Statistical Inference for Spatial Processes, later published as a book. He served on the

University Known for Models of DNA sequence evolution and methods of statistical inference in molecular evolution and phylogenetics Awards Darwin–Wallace Medal

In probability theory and statistics, the hypergeometric distribution is a discrete probability distribution that describes the probability of k {\displaystyle

In probability theory and statistics, the exponential distribution or negative exponential distribution is the probability distribution of the distance

was first published by Leonard E. Baum and Ted Petrie in 1966. Statistical inference for hidden semi-Markov models is more difficult than in hidden Markov

previously derived no free lunch theorems for machine learning (statistical inference). In 2005, Wolpert and Macready themselves indicated that the first

In probability theory and statistics, the geometric distribution is either one of two discrete probability distributions: The probability distribution

the founders of the approximate Bayesian computation method of statistical inference. As Director of MIG, he leads a team developing statistical and

other point of view. If consideration is restricted to classical statistical inference only, it is possible to seek solutions to the inference problem

primary research fields are probability theory, combinatorics, and statistical inference. Mossel's research spans a number of topics across mathematics,

Higher-order theories of consciousness postulate that consciousness consists in perceptions or thoughts about first-order mental states. In particular

Bayes' rule or Bayesian updating Empirical Bayes method – Bayesian statistical inference method in which the prior distribution is estimated from the data

bearing on the situation. Keynes goes beyond induction to consider statistical inference, particularly as then used by the sciences. In Chapter 28 'The Law

a chosen statistical model is appropriate or not. Oftentimes in statistical inference, inferences from models that appear to fit their data may be flukes

{\displaystyle r} as here. Casella, George; Berger, Roger L. (2002). Statistical inference (2nd ed.). Thomson Learning. p. 95. ISBN 0-534-24312-6. Cook, John

and Statistical Inference I (BIOS 760). University of North Carolina at Chapel Hill. Slide 59. Casella, George; Berger, Roger L. (2001). Statistical Inference

1–26. doi:10.2307/2983610. JSTOR 2983610. Barnard, G.A. (1949). "Statistical Inference". Journal of the Royal Statistical Society. B. 11 (2): 115–149.

on the concepts of Bayesian probabilistic reasoning. In essence, statistical inference is based on determining the probability of target sites adopting

in Genomics at Princeton University. His research is focused on statistical inference of high-dimensional data, particularly genomic data. Storey was

In probability theory, the multinomial distribution is a generalization of the binomial distribution. For example, it models the probability of counts

The Cauchy distribution, named after Augustin-Louis Cauchy, is a continuous probability distribution. It is also known, especially among physicists, as

2015. Reid studies the foundations and properties of methods of statistical inference in order to discover how inferential statements can accurately and

The Pareto distribution, named after the Italian civil engineer, economist, and sociologist Vilfredo Pareto, is a power-law probability distribution that

analysis of compositional data, algebraic-geometric approach to statistical inference, and spatial cluster analysis. She was the president of the International

and responsible for many important contributions to problems of statistical inference and methodology, especially in the development and use of the likelihood

dissertation, supervised by Dipak K. Dey, was Probabilistic Structure and Statistical Inference for Nonexplicit Population Models and Allele Frequency. She was

born 1965) is a Chinese-American statistician focusing on Bayesian statistical inference, statistical machine learning, and computational biology. He was

own theory of probability is outlined in Logical Foundations of Statistical Inference (1974), a theory that first found form in his 1961 book Probability

bearded men commonly sport mustaches, and for drawing an incorrect statistical inference. This mistaken inference, commonly called the prosecutor's fallacy

basis for inference. Little has contributed to the literature of statistical inference for causal effects based on the Neyman/Rubin causal model, mainly

supervision of Kenneth O. May. His doctoral thesis, Probability and Statistical Inference in Ancient and Medieval Jewish Literature, was published as a monograph

In statistics, econometrics, epidemiology and related disciplines, the method of instrumental variables (IV) is used to estimate causal relationships when

Research Council of Norway funded project FocuStat: Focus Driven Statistical Inference With Complex Data at the University of Oslo, and is co-leading the

In probability theory and statistics, the gamma distribution is a versatile two-parameter family of continuous probability distributions. The exponential

same degrees of freedom. Casella, George; Berger, Roger L (2001). Statistical inference. Cengage Learning. ISBN 9780534243128. George Casella (2008). Statistical

Advanced Linear Models for Data Science 2: Statistical Linear Models; Statistical Inference; Regression Models; Developing Data Products. Health, JH Bloomberg

concept of a null hypothesis is used differently in two approaches to statistical inference. In the significance testing approach of Ronald Fisher, a null hypothesis

plants and ants to global climate change; application of Bayesian statistical inference to ecological research and environmental decision-making; and the

In the field of mathematical optimization, stochastic programming is a framework for modeling optimization problems that involve uncertainty. A stochastic

Rasch. Proceedings of Conference on Foundational Questions in Statistical Inference (Aarhus, 1973), pp. 121–138. Memoirs, No. 1, Dept. Theoret. Statist

He has extensively contributed to foundations of scientific and statistical inference within the biosciences, and in 1999 he coined the term "p-value

Philosophical Study of Early Ideas About Probability, Induction and Statistical Inference. Cambridge: Cambridge University Press. Lewis, David. "Languages

Possibility and Probability: New Logical Foundations of Probability and Statistical Inference. Number 166 in Mathematics Studies. North-Holland. Haenni, H., Romeyn

behavioral science. He co-developed the “null regions” framework for statistical inference to solve the persistent problems of the traditional null hypothesis

In probability theory and statistics, the Poisson distribution (/ˈpwɑːsɒn/) is a discrete probability distribution that expresses the probability of a

video streaming service Stan (software), a programming language for statistical inference System Trace Audit Number, a key to uniquely identify a card transaction

2009. Her thesis considered Scalable Algorithms for Distributed Statistical Inference. During her PhD she worked in the networking group at IBM on end-to-end

based on a novel insight as to the duality of optimal control and statistical inference". His work on robotic hands has been featured in popular publications

Transformation University. Peixoto is mostly known for his work in statistical inference in networks. He developed and maintains the graph manipulation library

Majumdar. Most recently his research has focused on nonparametric statistical inference on manifolds and its applications. He is a co-author of three graduate

and Sam Kotz Second Lukacs Symposium, March 1992 Order Restricted Statistical Inference 1992–1993 A. K. Md. Ehsanes Saleh Third Lukacs Symposium – March

has been used in various applications. Here an incomplete list: Statistical inference Time series and linear systems Filtering problem Quantum systems

a Fellow of the American Academy of Arts and Sciences in 1986. Statistical Inference for Markov Processes (1961) Ergodic Theory and Information (1965)

Aris (1999). "Conditioning and regression". Probability Theory and Statistical Inference. New York: Cambridge University Press. pp. 339–356 [p. 342]. ISBN 0-521-42408-9

(help) Broemeling, Lyle D. (1 November 2011). "An Account of Early Statistical Inference in Arab Cryptology". The American Statistician. 65 (4): 255–257

Beierholm; L. Shams (2008). "Human trimodal perception follows optimal statistical inference". Journal of Vision. 8 (3): 24.1–11. doi:10.1167/8.3.24. PMID 18484830

development from expert interviews, as well in fundamental issues in statistical inference. He has extensive expertise in statistical computing, Markov chain

author of the books Probability and Statistical Inference—Volume 1: Probability and Volume 2: Statistical Inference, published by Springer-Verlag; the

Evidence-Based Technical Analysis: Applying the Scientific Method and Statistical Inference to Trading Signals. New York: John Wiley and Sons. p. 41. ISBN 978-0-470-00874-4

to assign each node to a community across time. Methods based on statistical inference, generalizing existing approaches introduced for unidimensional

Nonparametric Statistics. 2004. All of Statistics: A Concise Course in Statistical Inference. Springer-Verlag, New York. ISBN 978-0387402727 won DeGroot Prize

he is well known as lead author of the review article "Bayesian Statistical Inference for Psychological Research," which introduced the notion of 'stable

models may have purely predictive uses, but other uses, such as statistical inference, have been made possible by the development of Bayesian statistical

follows: For groundbreaking contributions to stochastic modeling and statistical inference in single molecule biophysics; for pioneering the equi-energy sampler;

In probability theory, a log-normal (or lognormal) distribution is a continuous probability distribution of a random variable whose logarithm is normally

"Preface". In Malay Ghosh; Pramod K. Pathak (eds.). Current Issues in Statistical Inference—Essays in Honor of D. Basu. Vol. 17. Hayward, CA: Institute for

suitable constraints) may be beneficial for machine learning and statistical inference algorithms. For a given dataset, there may be many hyperplanes that

Hamburger moment problem Casella, George; Berger, Roger L. (1990). Statistical Inference. Wadsworth & Brooks/Cole. p. 61. ISBN 0-534-11958-1. Bulmer, M.

ISBN 978-0-521-62394-0. Miller, Rupert G. (1966). Simultaneous Statistical Inference. Springer. ISBN 9781461381228. Goeman, Jelle J.; Solari, Aldo (2014)

advancement of the theory of statistical time-series analysis and statistical inference with emphasis on signal processing algorithm design and performance

053001. S2CID 14948954. Casella, George; Berger, Roger (2002). Statistical Inference (2nd ed.). Duxbury. p. 385. ISBN 0-534-24312-6. Lakens, Daniël (2017)

ISBN 0-940600-13-7. Birnbaum, A. (1962). "On the foundations of statistical inference (with discussion)". Journal of the American Statistical Association

ISBN 978-0-387-25145-5. Mukhopadhyay, Nitis (2000). Probability and Statistical Inference. United States of America: Marcel Dekker, Inc. pp. 282–283, 341

software Iterated conditional modes, an algorithm for approximate statistical inference Integrated catchment management, a subset of environmental planning

Gibbons is the author of ten books. They include: Nonparametric Statistical Inference (McGraw Hill, 1971; 2nd ed., Marcel Dekker, 1985; 4th ed. with Subhabrata

contaminated by random "noise" leads naturally to algorithms that use statistical inference tools to estimate the "true" values of the function and/or make

Jesper Moller; Rasmus Plenge Waagepetersen (25 September 2003). Statistical Inference and Simulation for Spatial Point Processes. CRC Press. ISBN 978-0-203-49693-0

of statistics, including the articles, "What is Statistics?", "Statistical Inference: The Big Picture," and "Ten Simple Rules for Effective Statistical

"Statistical Inference for Capture-Recapture Experiments". Wildlife Monographs. 107 (107): 3–97. JSTOR 3830560. Brownie, Cavell (1985). "Statistical inference

ISBN 978-3-0348-0008-2. Alves, M.I.F.; de Haan, L. & Neves, C. (March 10, 2006). "Statistical inference for heavy and super-heavy tailed distributions" (PDF). Archived

Monte Carlo or MCMC simulations. GNU MCSim is a simulation and statistical inference tool for algebraic or differential equation systems, optimized for

Wilson, E.B. (1927). "Probable inference, the law of succession, and statistical inference". Journal of the American Statistical Association. 22 (158): 209–212

{\displaystyle w_{n}} and between their limits, is one to one, so that the statistical inference based on v ^ n {\displaystyle {\hat {v}}_{n}} or on w n {\displaystyle

(link) Alves, M.I.F., de Haan, L. & Neves, C. (March 10, 2006). "Statistical inference for heavy and super-heavy tailed distributions" (PDF). Archived

The scientific method is an empirical method for acquiring knowledge that has been referred to while doing science since at least the 17th century. Historically

analyses that are confirmatory and analyses that are exploratory. Statistical inference is appropriate only for the former. Ultimately, the statistical

American statistician known for his contributions to the fields of statistical inference, empirical process theory, and survival analysis. Wellner was born

Statistics I: Techniques of computation, descriptive methods, and statistical inference. New York.: Wiley. I. M. Chakrevarti, R. G. Laha and J. Roy (1967)

American statistician known for his contributions to the fields of statistical inference, empirical process theory, and survival analysis. Wellner was born

(1954), 149 - 164. "Some uses of the 'amount of information' in the statistical inference", (address of the Sectional President), Proc. Ind. Sc. Cong., 46th

Aerospace and Electronic Systems, vol. 26(6), pp. 992–998. Young, G. A., Smith, R. L. (2005) Essentials of Statistical Inference, CUP. ISBN 0-521-83971-8

expensive, so statistical inference methods have been developed as a less expensive and automated option. These statistical-inference software packages

Stefanski, L.A. (2013). Permutation and Rank Tests. In: Essential Statistical Inference. Springer Texts in Statistics, vol 120. Springer, New York, NY.

program RaptorX, which employs probabilistic graphical models and statistical inference to both single template and multi-template based protein threading

with the non-inductivists. Because statisticians often associate statistical inference with induction, Popper's philosophy is often said to have a hidden

Estimation (2nd ed.). Springer. ISBN 0-387-98502-6. Cox, D.R. (2006) Principles of Statistical Inference, CUP. ISBN 0-521-68567-2 (Section 4.4.2) v t e

possibility, and probability: new logical foundations of probability and statistical inference. Elsevier. pp. 182–3. ISBN 0-444-88840-3. L. Ambrosio; et al. (2000)

statistician who made major advances in the field of shape-constrained statistical inference such as isotonic regression, and also worked in probability theory

Monte Carlo techniques Factor graphs and the Sum-Product algorithm Statistical inference using factor graphs State-space models Factor graphs in digital

ed.)" (PDF). Retrieved 6 December 2020. Casella, George (2002). Statistical inference. Roger L. Berger. Australia: Thomson Learning. pp. 271–309. ISBN 0-534-24312-6

Larry (December 2010). All of Statistics: a concise course in statistical inference. Springer texts in statistics. p. 47. ISBN 9781441923226. History

Probability, statistics and decision science: Theory of probability, statistical inference, cost/risk-benefit analysis, probabilistic analysis, stochastic

comparative methods Institutions University of Washington Thesis Statistical Inference and the Estimation of Phylogenies (1968) Doctoral advisor Richard

of the Greek alphabet: Casella, George; Berger, Roger W. (2024). Statistical inference. CRC texts in statistical science series (Second ed.). Boca Raton:

parameter value with a specified probability. In many problems of statistical inference we are not interested only in estimating the parameter or testing

-488 R.T. Collins, and R. Weiss "Vanishing Point Calculation as a Statistical Inference on the Unit Sphere" Proceedings of ICCV3, December, 1990 C. Coelho

Probability, 35, 614–640. J. Møller and R.P. Waagepetersen (2004). Statistical Inference and Simulation for Spatial Point Processes. Chapman and Hall/CRC

Probability, 35, 614–640. J. Møller and R.P. Waagepetersen (2004). Statistical Inference and Simulation for Spatial Point Processes. Chapman and Hall/CRC

building Sequential analysis, with emphasis on hypothesis testing. Statistical inference, with emphasis on estimation theory. Time series analysis. Symbolic

significance testing. Smith, Philip T (May 2009). "Ranald Macdonald and statistical inference". The British Journal of Mathematical and Statistical Psychology

doi:10.2307/2280041. JSTOR 2280041. Barnard, George Alfred (1949). "Statistical Inference". Journal of the Royal Statistical Society. B. 11 (2): 115–139.

"Finite state Markovian decision processes", 1970. "Probability and statistical inference for engineers: a first course", with M. Klein, 1959. Articles, a

University of California, Berkeley Thesis Asymptotically Nonparametric Statistical Inference in the Multivariate Cases Doctoral advisor Erich Leo Lehmann Doctoral

through (1930,1), (1931, 2), and so on. Keiding, Niels (1990). "Statistical inference in the Lexis diagram". Philosophical Transactions of the Royal Society

Sibert. 2012. AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models. Optim. Methods

Associations between species and groups of sites: indices and statistical inference. Ecology 90:3566-3574. De Caceres, M., P. Legendre, and M. Moretti

modifications of the genome). The primary focus of the system is on statistical inference on relations between genomic tracks, though simpler descriptive

ISBN 0-387-98502-6. Lee Berger, Roger; Casella, George (2002). Statistical inference. Stamford, Connecticut: Thomson Learning. ISBN 0-534-24312-6. Casella

(Buddhism), also known as Pratitya-samutpada Conditionality principle in statistical inference Instrumental conditionality of objects in philosophy and ethics

York. Chatfield, C. (1995) "Model uncertainty, data mining and statistical inference," J. R. Statist. Soc. A 158, Part 3, pp. 419–466. Efron, B. and

Media, Inc. p. 47. Spanos, Aris (1999). Probability Theory and Statistical Inference. Cambridge University Press. p. 699. ISBN 0-521-42408-9. John Atkinson

at the University of California, Berkeley, with the dissertation Statistical Inference for a Family of Counting Processes supervised by Lucien Le Cam.

Fellow of the Royal Society of Edinburgh. A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713–1935. New York: Springer. 2007.

ISBN 978-0-471-24195-9. Casella & Berger 2002, Theorem 1.5.10 Casella, George; Berger, Roger L. (2002), Statistical Inference, Duxbury Advanced Series

in Bayesian theory and they turned into critics of the classical statistical inference they had hoped to justify. Lindley became a great missionary for

also includes new Bayesian statistics capabilities, a method of statistical inference, and publication ready charts, such as powerful new charting capabilities

necessary to study several interacting factors in a framework of statistical inference. Depending on the case, we speak of a macrocosm when the space is

Dickinson; Chakraborti, Subhabrata (9 May 2003) [1970]. Nonparametric Statistical Inference. Statistics: A Series of Textbooks and Monographs (Fourth Edition:

"Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation". Journal of Finance. 55 (4): 1705–1765

269–273. doi:10.2307/1927826. JSTOR 1927826. Marschak, Jacob (1949). "Statistical inference from non-experimental observation: an economic example". In Proceedings

University Press. ISBN 978-0521615983. Ian Hacking (1965). Logic of Statistical Inference. Cambridge University Press. ISBN 9781316508145. Ballentine, Leslie

Série I. 188. Paris: 1138–9. Miller, Rupert G. (1966). Simultaneous Statistical Inference. New York: Springer-Verlag. p. 1. ISBN 978-1-4613-8124-2. "Le radiosondage"

variability, concentration indices, moments, sampling theory and statistical inference. For a complete biography, see G. Leti, Ricordo di Vittorio Castellano

Objectivity and Rationality of Science, Cambridge University Press, 2010 Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars, Cambridge

and evaluating goodness of fit, many models lack the capacity for statistical inference, which are of greater interest to economic researchers. Machine

Rio Grande del Sud. He was impressed by the parallelism between statistical inference and statistical thermodynamics: two distinct and separate branches

84l2004R. doi:10.1103/physrevd.84.122004. Siddiqui, M. M. (1964) "Statistical inference for Rayleigh distributions", The Journal of Research of the National

covered. Stable distribution Iii, James Pickands (1975-01-01). "Statistical Inference Using Extreme Order Statistics". The Annals of Statistics. 3 (1)

Selection". Unifying Political Methodology : the Likehood Theory of Statistical Inference. Cambridge University Press. pp. 208–230. ISBN 0-521-36697-6. Maddala

35 (1/2): 182. doi:10.2307/2332638. JSTOR 2332638. Casella, George; Berger, Roger L. (2002). Statistical Inference (2nd ed.). Theorem 2.1.10, p.54.

1080/0161-119291866801. Broemeling, Lyle D. (2011). "An Account of Early Statistical Inference in Arab Cryptology". The American Statistician. 65 (4): 255–257

Research Memoirs. 1: 1–37. Casella, George; Berger, Roger L. (2002), Statistical Inference, 2nd Ed., p387 Romano, Joseph P.; Siegel, A. F. (1986-06-01). Counterexamples

comparative methods. "Biology and Body Size in Human Evolution: Statistical Inference Misapplied", Current anthropology. 37, no. 3, (1996): 451–481 Smith

; Stuckey P.; Garcia de la Banda M.; Konagurthu A. (Apr 2017). "Statistical inference of protein structural alignments using information and compression"

("Survey Sampling"), 1998: Sir David R. Cox, Oxford, UK ("Theories of Statistical Inference") and Jef Teugels, Leuven, Belgium ("Statistics of Extremes"), 1999:

Variational Inference Stan is a probabilistic programming language for statistical inference written in C++ ArviZ a Python library for exploratory analysis of

J.; Cribari-Neto, F.; Vasconcellos, K. L. P. (2007), "Improved statistical inference for the two-parameter Birnbaum–Saunders distribution", Computational

Paradox 1978 Allen H. Holmes, Walter J. Sanders and John W. LeDuc Statistical Inference for the General Education Student-It Can Be Done 1977 Julian Weissglass

Statisticians page. For Irwin's correspondence with Fisher see Statistical Inference and Analysis, Selected Correspondence of R.A. Fisher Edited by J

and to do integrated circuit layout GNU MCSim – simulation and statistical inference tool for algebraic or differential equation systems GNU Multi-Precision

of Convex Sets in Hilbert Spaces". Advances in Order Restricted Statistical Inference. Lecture Notes in Statistics. Vol. 37. pp. 28–47. doi:10.1007/978-1-4613-9940-7_3

curve can be estimated. Nor, indeed, is the problem here one of statistical inference—of separating out the effects of random disturbance. There is no

specification search, data mining, natural experiments, replication, statistical inference". econjwatch.org. Retrieved 2021-02-04. "In memoriam: Edward Leamer

Universities Press. 1972: & R.E. Barlow, H.D. Brunk and J.M. Bremner, Statistical Inference under Order Restrictions, Chichester: John Wiley and Sons. 1973:

D. (1979). "Law and the Crystal Ball: Predicting Behavior with Statistical Inference and Individualized Judgment". Yale Law Journal. 88 (7): 1408–1448

the Australians, but twice as many British have lung cancer. One statistical inference is very clear. In each pair of countries, the higher cancer rate

Verba. Unifying Political Methodology: The Likelihood Theory of Statistical Inference (Cambridge, UK and New York: Cambridge University Press, 1989; reprinted

Snow, she co-authored Pygmalion Reconsidered: A Case Study in Statistical Inference (C. A. Jones Publishing, 1971), a book on how teacher expectations

1 (2006): 1199. Efron, Bradley, and Trevor Hastie. Computer Age Statistical Inference. Cambridge University Press, 2016. Efron, Bradley. Large-scale inference:

D. R. (1995), "Comment on "Model uncertainty, data mining and statistical inference"", Journal of the Royal Statistical Society, Series A, 158: 455–456

"Foundations of statistical quality control". Current issues in statistical inference: Essays in honor of D. Basu. Institute of Mathematical Statistics

(Königsdorf)". Statistics. 49 (6). doi:10.1080/02331888.2015.1059573. Statistical Inference in Linear Models. Wiley series in probability and mathematical statistics

p. 109. ISBN 978-1439858011. Cox, D. R. (2006). Principles of Statistical Inference. Cambridge University Press. p. 2. Willey, Gordon R. (1953), "Prehistoric