淡江大學機構典藏:Item 987654321/50434
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    题名: Simultaneous Inferences of Extreme Populations for Two-Parameter Exponential Populations Based on the Doubly Type II Censored Sample
    作者: 吳淑妃;Wu, Shu-fei;Yu, Yuh-ru
    贡献者: 淡江大學統計學系
    关键词: Simultaneous Inferences of Extreme Populations;Doubly Type-II Censored Sample
    日期: 2008-06
    上传时间: 2010-08-09 17:12:06 (UTC+8)
    出版者: 淡江大學
    摘要: Some experimenters sometimes want to identify the worst and best Populations for the Two-Parameter Exponential Distributions at the same time for many biological or industrial experiments. Under the assumption of equal scale parameters, the best population is defined as the exponential population with the largest location parameter (UEP) and the worst population is defined as the exponential population with the smallest location parameter (LEP). In some lifetime test, the experimenter can only obtain incomplete sample, then the conventional inferential method for complete sample is no longer appropriate. Therefore, we proposed the simultaneous confidence intervals(SCI) for all distances from the worst and best populations (Extreme Populations) for Two-Parameter Exponential Distributions based on the Doubly Type-II censored sample. Without decreasing the probability of correct selection, the subset selection of extreme populations is also proposed. The critical values for Type-II doubly censored sample are tabulated. When and , the problem of simultaneous inferences of extreme populations reduced to the simultaneous inferences of the best populations. An numerical simulated example is given to illustrate all procedures.
    關聯: International Journal of Information and Management Sciences 19(2), pp.339-352
    显示于类别:[統計學系暨研究所] 期刊論文

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