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    題名: Interval estimation of parameters of log-gamma distribution based on progressively censored data
    作者: 林千代;Lin, Chien-tai;吳正新;Wu, S. J. S.;Balakrishnan, N.
    貢獻者: 淡江大學數學學系
    關鍵詞: Ancillary statistics;Conditional inference;Monte carlo simulations;Pivotal quantities
    日期: 2004-11
    上傳時間: 2010-01-28 06:54:42 (UTC+8)
    出版者: Taylor & Francis
    摘要: A conditional method of inference is used to derive confidence intervals for the location and scale parameters as well as the quantiles and the reliability function of the log-gamma distribution when the data are progressively Type-II censored. The method is then compared to the unconditional method of constructing confidence intervals for these parameters. Finally, we illustrate all the methods of inference discussed in this paper with a numerical example.
    關聯: Communications in Statistics: Theory and Methods 33(11), pp.2595-2626
    DOI: 10.1081/STA-200037898
    顯示於類別:[數學學系暨研究所] 期刊論文

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