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A Note on the Equivalence of Two Test Criteria for Hypotheses in Categorical Data

 

作者: V.P. Bhapkar,  

 

期刊: Journal of the American Statistical Association  （Taylor Available online 1966）
卷期: Volume 61, issue 313  

页码: 228-235

 

ISSN:0162-1459

 

年代: 1966

 

DOI:10.1080/01621459.1966.10502021

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

It is shown in this note that for testing linear hypotheses in categorical data Wald's statistic [1943] is equivalent (i.e., algebraically-identical) to the χ21statistic of Neyman [1949], and for testing nonlinear hypotheses it is equivalent to the χ21statistic using Neyman's linearization technique, whenever these χ21statistics are defined.

 

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