淡江大學機構典藏:Item 987654321/41197
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    Title: Interval estimation of parameters of log-gamma distribution based on progressively censored data
    Authors: 林千代;Lin, Chien-tai;吳正新;Wu, S. J. S.;Balakrishnan, N.
    Contributors: 淡江大學數學學系
    Keywords: Ancillary statistics;Conditional inference;Monte carlo simulations;Pivotal quantities
    Date: 2004-11
    Issue Date: 2010-01-28 06:54:42 (UTC+8)
    Publisher: Taylor & Francis
    Abstract: 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.
    Relation: Communications in Statistics: Theory and Methods 33(11), pp.2595-2626
    DOI: 10.1081/STA-200037898
    Appears in Collections:[Graduate Institute & Department of Mathematics] Journal Article

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