Multiple comparisons with the average for exponential location parameters based on doubly censored sample under heteroscedasticity

淡江大學機構典藏 > 商管學院 > 統計學系暨研究所 > 期刊論文 > Item 987654321/116851

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题名:	Multiple comparisons with the average for exponential location parameters based on doubly censored sample under heteroscedasticity
作者:	Shu-Fei Wu
关键词:	Doubly censored sample;Exponential distribution;Multiple comparisons with the average;One-stage procedure
日期:	2018-05-08
上传时间:	2019-06-15 12:10:16 (UTC+8)
摘要:	In this paper, a one-stage multiple comparison procedures with the average for exponential location parameters based on the doubly censored sample under heteroscedasticity is proposed. These intervals can be used to identify a subset which includes all no-worse-than-the-average treatments in an experimental design and to identify better-than-the-average, worse-than-the-average and not-much-different-from-the-average products in agriculture, emerging market, pharmaceutical industries. The critical values are tabulated in a table for practical use. A simulation study on the confidence length and coverage probabilities is done. At last, an example of comparing four drugs in the treatment of leukemia is given to demonstrate the proposed procedures.
關聯:	Communications in Statistics: Simulation and Computation 47(5), p.1529-1539
DOI:	10.1080/03610918.2017.1317805
显示于类别:	[統計學系暨研究所] 期刊論文

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