淡江大學機構典藏:Item 987654321/96173
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    题名: Optimal progressive group censoring scheme under cost considerations for pareto distribution
    作者: Kuş, Coşkun;Akdoğan, Yunus;Wu, Shuo-Jye
    贡献者: 淡江大學統計學系
    关键词: grouped data;interval censoring;maximum-likelihood method;nonlinear mixed integer programming;variance optimality
    日期: 2013-11-01
    上传时间: 2014-03-05 14:40:59 (UTC+8)
    出版者: Abingdon: Routledge
    摘要: 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.
    關聯: Journal of Applied Statistics 40(11), pp.2437-2450
    DOI: 10.1080/02664763.2013.818107
    显示于类别:[統計學系暨研究所] 期刊論文

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