Hypothesis testing on the common location parameter of several shifted exponential distributions: A note

被引:0
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作者
Ching-Hui Chang
Jyh-Jiuan Lin
Nabendu Pal
机构
[1] Ming Chuan University,Department of Applied Statistics and Information Science
[2] Tamkang University,Department of Statistics
[3] University of Louisiana at Lafayette,Department of Mathematics
关键词
62F03; 62F40; 62F05; Maximum likelihood estimator; Size of a test; Power function;
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摘要
This note deals with hypothesis testing on the common location parameter of several shifted exponential distributions with unknown and possibly unequal scale parameters. No exact test is available for the above mentioned problem; and one does not have the luxury of applying the asymptotic Chi-square test for the likelihood ratio test statistic since the distributions do not satisfy the usual regularity conditions. Therefore, we have proposed a few approximate tests based on the parametric bootstrap method which appear to work well even for small samples in terms of attaining the level. Powers of the proposed tests have been provided along with a recommendation of their usage.
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页码:51 / 59
页数:8
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