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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/69146

    Title: A Note on Comparing Several Poisson Means
    Authors: Chang, Ching-Hui;Pal, Nabendu;Lin, Jyh-Jiuan
    Contributors: 淡江大學統計學系
    Keywords: Clinical trial;Comprehensive simulations;Existing method;Level of significance;Life-sciences;Parametric bootstrap;Poisson mean;Power functions;Real life datasets;Size;Parameter estimation;Poisson distribution;Maximum likelihood estimation
    Date: 2010-08
    Issue Date: 2013-05-31 11:38:16 (UTC+8)
    Publisher: Philadelphia: Taylor & Francis Inc.
    Abstract: There has been a renewed interest lately in comparing the means (rates) of several Poisson distributions (processes) due to its wide applicability in various fields, especially in life sciences. In this article we first review the recent developments in the literature, and then propose a parametric bootstrap method which performs as good as, if not better than, the existing methods. Results of our comprehensive simulation study have been provided to compare the relevant methods. Finally these methods have been used to four real-life datasets including a most recent one obtained from a clinical trial on the Intrinsa hormone patch developed by Proctor & Gamble.
    Relation: Communications in Statistics - Simulation and Computation 39(8), pp.1605-1627
    DOI: 10.1080/03610918.2010.508860
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

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