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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/41192


    题名: Empirical Bayes approach to Bayes sequential estimation : the Poisson and Bernoulli cases
    其它题名: 以經驗貝式方法作貝式序列估計
    作者: 黃連成;Hwang, Leng-cheng
    贡献者: 淡江大學數學學系
    关键词: asymptotically non–deficient;empirical Bayes;martingale;submartingale;uniform integrability
    日期: 1992-08-01
    上传时间: 2010-01-28 06:53:52 (UTC+8)
    出版者: Taylor & Francis
    摘要: The problem considered is the Bayes sequential estimation of the mean with quadratic loss and fixed cost per observation. Assume the prior distribution is not completely known. Some empirical Bayes procedures are proposed in the Poisson and Bernoulli cases, and they are shown to be asymptotically non-deficient in the sense of Woodroofe (1981).
    關聯: Communications in Statistics: Theory and Methods 21(8), pp.2293-2308
    DOI: 10.1080/03610929208830913
    显示于类别:[數學學系暨研究所] 期刊論文

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