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{{short description|Statistical measure of cohesion in a voting group}} ...; no by-line.--> |date=1969 |title=Stuart Arthur Rice: Student Activist to Statistical Statesman |journal=The American Statistician|url=http://magazine.amstat.org ...

...mate statistical methods. The main characteristic of exact methods is that statistical tests and [[confidence interval]]s are based on exact probability statement ...help avoid some of the unreasonable assumptions of traditional statistical methods, such as the assumption of equal variances in classical [[ANOVA]]. They als ...

...c methods may lead to misleading conclusions or may fail to detect truly [[Statistical significance|significant]] results from [[experiment]]s. ...are based on exact probability statements. While conventional statistical methods do not provide exact solutions to such problems as testing [[variance compo ...

{{Short description|Statistical regression model}} {{About|the statistical method|additive color models|Additive color}} ...

{{Short description|Statistical measure}} ...oeffding's test of bivariate independence using two Weibull extensions", ''Statistical Methodology'', 5 (2), 160-&ndash;170 {{doi|10.1016/j.stamet.2007.07.002}}< ...

In [[statistics]], the '''size''' of a [[statistical test|test]] is the probability of [[Type I error#Type I error|falsely rejec ...irst1=Russell|last2=MakKinnon|first2=James G.|title=Econometric theory and methods|date=2004|publisher=Oxford Univ. Press|location=New York, NY [u.a.]|isbn=97 ...

...nitoring-convergence.html|title=7.4 Monitoring Convergence &#124; Advanced Statistical Computing|first=Roger D.|last=Peng|via=bookdown.org}}</ref> ...1 = Vats| first1 = Dootika| last2 = Knudson| first2 = Christina| journal = Statistical Science| volume = 36| issue = 4| arxiv = 1812.09384}}</ref> ...

...orkman |first1=Johannes |journal=Communications in Statistics - Theory and Methods |volume=38 |pages=21–26 | doi=10.1080/03610920802187448}}</ref> [[Category:Statistical deviation and dispersion]] ...

{{Short description|Non-parametric statistical test}} ...of similarities (ANOSIM)''' is a [[Nonparametric statistics|non-parametric statistical test]] widely used in the field of [[ecology]]. The test was first suggeste ...

|title = Modern Regression Methods |title = Applied Linear Statistical Models ...

{{Short description|Quantitative way to compare statistical models}} ...[[Pseudometric space|pseudometric]] for the maximum deficiency between two statistical models. If the deficiency of a model <math>\mathcal{E}</math> in relation t ...

{{Short description|Statistical test}} ...|first2=James G. |last2=MacKinnon |year=2004 |title=Econometric Theory and Methods |location=New York |publisher=Oxford University Press |page=613 |isbn=0-19- ...

{{Short description|Method for fitting a statistical model to data}} ...um-distance estimation''' ('''MDE''') is a conceptual method for fitting a statistical model to data, usually the [[Empirical distribution function|empirical dist ...

...sponse variable]] given that other independent variables are also in the [[Statistical model|model]]. |title = Modern Regression Methods ...

...univariate and multivariate stable distributions. Journal of the American Statistical Association. 67:842–846</ref> for [[parameter estimation]] and in Heathcote ...ef> and Prakasa Rao (1987)<ref>Prakasa Rao BLS (1987) Asymptotic Theory of Statistical Inference. Wiley, New York.</ref> (chapter 8) are also good sources of info ...

...in the context of examining certain point patterns, whereas in most other statistical contexts it is referred to the concept of a spatial Poisson process.<ref na ...math> P_N(r)</math> can be derived via the use of the gamma function using statistical moments. The first moment is the mean distance between randomly distributed ...

In statistics, an '''''F''-test of equality of variances''' is a [[statistical test|test]] for the [[null hypothesis]] that two [[normal distribution|norm ...ce]]s.<ref>Snedecor, George W. and Cochran, William G. (1989), Statistical Methods, Eighth Edition, Iowa State University Press.</ref> This particular situati ...

| title = Stochastic Eulerian Lagrangian Methods for Fluid Structure Interactions with Thermal Fluctuations ...rinciples, such as fluctuation-dissipation balance and other properties in statistical mechanics.<ref name="Atzberger"/> ...

...'), or '''least trimmed sum of squares''', is a [[robust statistics|robust statistical method]] that fits a function to a set of data whilst not being unduly affe . It is one of a number of methods for [[robust regression]]. ...

...isplay both large magnitude [[Fold change|fold-changes]] (x axis) and high statistical significance (-log₁₀ of p value, y axis). The dashed red line sh ...-points (genes, etc.) that display large magnitude changes that are also [[Statistical significance|statistically significant]]. ...