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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/96173


    Title: Optimal progressive group censoring scheme under cost considerations for pareto distribution
    Authors: Kuş, Coşkun;Akdoğan, Yunus;Wu, Shuo-Jye
    Contributors: 淡江大學統計學系
    Keywords: grouped data;interval censoring;maximum-likelihood method;nonlinear mixed integer programming;variance optimality
    Date: 2013-11-01
    Issue Date: 2014-03-05 14:40:59 (UTC+8)
    Publisher: Abingdon: Routledge
    Abstract: In this article, optimal design under the restriction of pre-determined budget of experiment is developed for the Pareto distribution when the life test is progressively group censored. We use the maximum-likelihood method to obtain the point estimator of the Pareto parameter. We propose two approaches to decide the number of test units, the number of inspections, and the length of inspection interval under limited budget such that the asymptotic variance of estimator of Pareto parameter is minimum. A numerical example is given to illustrate the proposed method. Some sensitivity analysis is also studied.
    Relation: Journal of Applied Statistics 40(11), pp.2437-2450
    DOI: 10.1080/02664763.2013.818107
    Appears in Collections:[統計學系暨研究所] 期刊論文

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