MULTIPLE COMPARISON PROCEDURES BASED ON THE MAXIMAL COMPONENT OF THE CUMULATIVE CHI-SQUARED STATISTIC

被引：14

作者：

HIROTSU, C ^{[1
]}

KURIKI, S ^{[1
]}

HAYTER, AJ ^{[1
]}

机构：

[1] GEORGIA INST TECHNOL,SCH IND & SYST ENGN,ATLANTA,GA 30332

来源：

BIOMETRIKA | 1992年 / 79卷 / 02期

关键词：

CLOSED TESTING PROCEDURE; DOSE FINDING EXPERIMENT; MARKOV PROPERTY; MULTIPLE TESTING; MULTIVARIATE NORMAL INTEGRALS; ORDERED ALTERNATIVE;

D O I：

10.1093/biomet/79.2.381

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Multiple comparison procedures based on the maximal component of the cumulative chi-squared statistic are discussed. The Markov properties for the successive components of the cumulative chi-squared statistic are proved and applied for obtaining the p-value of the maximal component in each of the one-way and the two-way analysis of variance models and the two-way contingency table. The power of the multiple comparison procedure is compared with those for some well-known procedures in the setting of Williams (1971) for detecting the change point from the zero level.

引用

页码：381 / 392

页数：12

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