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    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/18188
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/18188

    Title: Bayesian Sequential Tests for Comparing the Number of Species in Two Populations
    Authors: Yue, Jack C.;Clayton
    Keywords: Sampling species;species diversity;Number of species;Sequential sampling;Bayesian decision making;Optimal stopping rule;Group sampling
    Date: 1996-05
    Issue Date: 2008-12-19 14:54:03 (UTC+8)
    Abstract: We study a problem of scquentially comparing the number of species in two populations. We consider a sequential Bayesian approach which incorporates a sampling cost and a misclassification loss, and examine optimal and sub-optimal stopping rules. The optimal stopping rule is shown to be truncated when the prior distribution of the number of species is bounded. or when the prior is unbounded and satisfies certain conditions.
    Relation: Sequential Analysis, 15(2&3), 185-210
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1080/07474946608836359
    DOI: 10.1080/07474946608836359
    Appears in Collections:[統計學系] 期刊論文

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