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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/69189

    Title: Estimation of a Normal Variance: A Critical Review
    Authors: Pal, Nabendul;Ling, Chia-hua;Lin, Jyh-jiuan
    Contributors: 淡江大學統計學系
    Keywords: Affine equivariance;loss function;minimax estimator;risk function;Primary 62C15;Secondary 62H12;Industry Sectors
    Date: 1998-10-01
    Issue Date: 2011-10-23 16:32:49 (UTC+8)
    Publisher: Heidelberg: Springer-Verlag
    Abstract: Consider the problem of estimating the variance based on a random sample from a normal distribution with unknown mean. In this article we review the rich literature developed over the last three decades on the problem of variance estimation in a decision theoretic setup. While examining the developments we point out a few errors that exist in the literature.
    Relation: Statistical Papers 39(4), pp.389-404
    DOI: 10.1007/BF02927101
    Appears in Collections:[統計學系暨研究所] 期刊論文

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