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A comparison of tests of homogeneity for sparse contingency tables

 

作者: Dale F Kraemer,   Robert F Woolson,  

 

期刊: Communications in Statistics - Simulation and Computation  (Taylor Available online 1987)
卷期: Volume 16, issue 2  

页码: 465-483

 

ISSN:0361-0918

 

年代: 1987

 

DOI:10.1080/03610918708812600

 

出版商: Marcel Dekker, Inc.

 

关键词: categorical data sparse tables;goodness of fit

 

数据来源: Taylor

 

摘要:

Five tests of homogeneity for a 2x(k+l) contingency table are compared using Monte Carlo techniques. For these studiesit is assumed that k becomes large in such a way that thecontingency table is sparse for 2xk of the cells, but the sample size in two of the cells remains large. The test statistics studied are: the chi-square approximation to the Pearson test statistic, the chi-square approximation to the likelihood ratio statistic, the normal approximation to Zelterman's (1984)the normal approximation to Pearson's chi-square, and the normal approximation to the likelihood ratio statistic. For the range of parameters studied the chi-square approximation to Pearson's statistic performs consistently well with regard to its size and power.

 

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