首页   按字顺浏览 期刊浏览 卷期浏览 The Powers and Strengths of Tests for Multinomials and Contingency Tables
The Powers and Strengths of Tests for Multinomials and Contingency Tables

 

作者: JamesFlinn Crook,   IrvingJohn Good,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1982)
卷期: Volume 77, issue 380  

页码: 793-802

 

ISSN:0162-1459

 

年代: 1982

 

DOI:10.1080/01621459.1982.10477890

 

出版商: Taylor & Francis Group

 

关键词: Bayes/Neyman-Pearson compromise;Mixtures of Dirichlet distributions;Computer graphics;Hierarchical Bayes

 

数据来源: Taylor

 

摘要:

Thestrengthof a significance test is defined as a weighted average of the power especially if the weights are a prior density. The concept is a compromise between Neyman-Pearsonian and Bayesian methods and is applied to tests for multinomial equiprobability and for no association in contingency tables. The differences of the power functions of two criteria,X2andG, are illustrated for the trinomial, whereGarose earlier from a partially Bayesian approach. Other methods for apprehending power functions of several variables are discussed. For 2 × 2 contingency tables with equal row or column totals the power and strength functions of several statistics are equal.

 

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