English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 54566/89241 (61%)
造访人次 : 10577665      在线人数 : 40
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/117053


    题名: Optimal progressive interval censoring plan under accelerated life test with limited budget
    作者: Wu Shuo-Jye;Huang Syuan-Rong
    关键词: D-optimality;E-optimality;maximum likelihood method;multiple constant stress;T-optimality;Weibull distribution
    日期: 2019-08-25
    上传时间: 2019-09-19 12:10:47 (UTC+8)
    出版者: Taylor & Francis
    摘要: In this paper, we investigate some inference and design problems related to multiple constant-stress accelerated life test with progressive type-I interval censoring. A Weibull lifetime distribution at each stress-level combination is considered. The scale parameter of Weibull distribution is assumed to be a log-linear function of stresses. We obtain the estimates of the unknown parameters through the method of maximum likelihood, and also derive the Fisher's information matrix. The optimal number of test units, number of inspections, and length of the inspection interval are determined under D-optimality, T-optimality, and E-optimality criteria with cost constraint. An algorithm based on nonlinear mixed-integer programming is proposed to the optimal solution. The sensitivity of the optimal solution to changes in the values of the different parameters is studied.
    關聯: Journal of Statistical Computation and Simulation 89(17), p.3241-3257
    DOI: 10.1080/00949655.2019.1658762
    显示于类别:[統計學系暨研究所] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML8检视/开启
    Optimal progressive interval censoring plan under accelerated life test with limited budget.pdf1643KbAdobe PDF0检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈