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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/20719


    Title: Statistical inference based on progressively censored samples with random removals from the Burr type XII distribution
    Authors: Wu, Shuo-Jye;Chen, Yi-Ju;Chang, Chun-tao
    Contributors: 淡江大學統計學系
    Keywords: Confidence interval;Joint confidence region;Maximum likelihood estimator;Pivot;Progressive type II censoring;Random removals
    Date: 2007-01-01
    Issue Date: 2009-11-30 12:57:39 (UTC+8)
    Publisher: Taylor & Francis
    Abstract: In this article, we study the estimation problems for the Burr type XII distribution based on progressive type II censoring with random removals, where the number of units removed at each failure time has a discrete uniform distribution. We use the method of maximum likelihood to derive the point estimators of the parameters. The main purpose of this article is to construct the exact confidence interval and region for the parameters. Finally, a numerical example is presented to illustrate the methods developed here.
    Relation: Journal of Statistical Computation and Simulation 77(1), pp.19-27
    DOI: 10.1080/10629360600569204
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

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