A Default Bayesian Hypothesis Test for ANOVA Designs

被引：94

作者：

Wetzels, Ruud ^{[1
]}

Grasman, Raoul P. P. P. ^{[1
]}

Wagenmakers, Eric-Jan ^{[1
]}

机构：

[1] Univ Amsterdam, NL-1018 XA Amsterdam, Netherlands

来源：

AMERICAN STATISTICIAN | 2012年 / 66卷 / 02期

关键词：

Bayes factor; Model selection; Teaching Bayesian statistics; VARIABLE-SELECTION; P-VALUES; PRIORS;

D O I：

10.1080/00031305.2012.695956

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

This article presents a Bayesian hypothesis test for analysis of variance (ANOVA) designs. The test is an application of standard Bayesian methods for variable selection in regression models. We illustrate the effect of various g-priors on the ANOVA hypothesis test. The Bayesian test for ANOVA designs is useful for empirical researchers and for students; both groups will get a more acute appreciation of Bayesian inference when they can apply it to practical statistical problems such as ANOVA. We illustrate the use of the test with two examples, and we provide R code that makes the test easy to use.

引用

页码：104 / 111

页数：8

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