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    題名: Criteria for the unique determination of probability distributions by moments
    作者: Pakes AG
    Hung WL
    Wu JW
    貢獻者: 應數系
    關鍵詞: Carleman and Krein conditions
    moment problem
    日期: 2001
    上傳時間: 2009-12-14 10:44:57 (UTC+8)
    摘要: A positive probability law has a density function of the general form Q(x) exp(-x(1/lambda)L(x)), where Q is subject to growth restrictions, and L is slowly varying at infinity. This law is determined by its moment sequence when lambda < 2, and not determined when <lambda> > 2. It is still determined when lambda = 2 and L(x) does not tend to zero too quickly. This paper explores the consequences for the induced power and doubled laws, and for mixtures. The proofs couple the Carleman and Krein criteria with elementary comparison arguments.
    關聯: AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS Volume: 43 Issue: 1 Pages: 101-111
    顯示於類別:[應數系] 期刊論文

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