淡江大學機構典藏:Item 987654321/20593
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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/20593


    Title: One-Sample Bayesian Predictive Interval of Future Ordered Observations for the Pareto Distribution
    Authors: Wu, J. W.;吳淑妃;Wu, Shu-fei;Yu, C. M.
    Contributors: 淡江大學統計學系
    Date: 2007-04-01
    Issue Date: 2009-11-30 12:53:01 (UTC+8)
    Publisher: Springer
    Abstract: Nigm et al. (2003, statistics 37: 527–536) proposed Bayesian method to obtain predictive interval of future ordered observation Y (j) (r < j≤ n ) based on the right type II censored samples Y (1) < Y (2) < ... < Y (r) from the Pareto distribution. If some of Y (1) < ... < Y (r-1) are missing or false due to artificial negligence of typist or recorder, then Nigm et al.’s method may not be an appropriate choice. Moreover, the conditional probability density function (p.d.f.) of the ordered observation Y (j) (r < j ≤ n ) given Y (1) <Y (2) < ... < Y (r) is equivalent to the conditional p.d.f. of Y (j) (r < j ≤ n ) given Y (r). Therefore, we propose another Bayesian method to obtain predictive interval of future ordered observations based on the only ordered observation Y (r), then compares the length of the predictive intervals when using the method of Nigm et al. (2003, statistics 37: 527–536) and our proposed method. Numerical examples are provided to illustrate these results.
    Relation: Quality and Quantity 41(2), pp.251-263
    DOI: 10.1007/s11135-006-9001-2
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article
    [Graduate Institute & Department of Statistics] Journal Article

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