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    题名: Hypothesis testing on the common location parameter of several shifted exponential distributions: A note
    作者: Chang, Ching-Hui;Lin, Jyh-Jiuan;Pal, Nabendu
    贡献者: 淡江大學統計學系
    关键词: Maximum likelihood estimator;Size of a test;Power function
    日期: 2013-03
    上传时间: 2014-03-17
    出版者: Amsterdam: Elsevier BV
    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.
    關聯: Journal of the Korean Statistical Society 42(1), pp.51–59
    DOI: 10.1016/j.jkss.2012.04.009
    显示于类别:[統計學系暨研究所] 期刊論文

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