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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/116851


    Title: Multiple comparisons with the average for exponential location parameters based on doubly censored sample under heteroscedasticity
    Authors: Shu-Fei Wu
    Keywords: Doubly censored sample;Exponential distribution;Multiple comparisons with the average;One-stage procedure
    Date: 2018-05-08
    Issue Date: 2019-06-15 12:10:16 (UTC+8)
    Abstract: 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.
    Relation: Communications in Statistics: Simulation and Computation 47(5), p.1529-1539
    DOI: 10.1080/03610918.2017.1317805
    Appears in Collections:[統計學系暨研究所] 期刊論文

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