Step-up multiple comparison procedure for comparing several normal variances

被引：0
|
作者：
Singh, Parminder [1 ]
Singh, Navdeep [1 ]
机构：
[1] Guru Nanak Dev Univ, Dept Math, Amritsar, Punjab, India
来源：
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2020年 / 49卷 / 06期
关键词：
Type I family-wise error; Power comparison; Single step procedure; Stepwise procedure; Critical constants; Closed testing procedure; TESTS;
D O I：
10.1080/03610918.2018.1501484
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：
The article deals with a step-up multiple comparison procedure for testing the homogeneity of all the subsets of scale parameter of distributions indexed by location and scale parameters. The methods of computation of exact critical constants for and simulated critical constants for are discussed and critical constants are tabulated for selected configurations. Using Monte Carlo simulation, it is shown that the proposed procedure has more power than the single-step procedure and the Newman-Keuls type step-down procedure. Application of the proposed procedure to exponential probability model is discussed.
引用
收藏
页码：1592 / 1602
页数：11
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