English  |  正體中文  |  简体中文  |  Items with full text/Total items : 56828/90533 (63%)
Visitors : 12258989      Online Users : 72
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/69224


    Title: Optimal progressive group-censoring plans for exponential distribution in presence of cost constraint
    Authors: Wu, Shuo-Jye;Huang, Syuan-Rong
    Contributors: 淡江大學統計學系
    Keywords: Grouped data;Progressive censoring;Sensitivity analysis;Type-I censoring;Variance optimality
    Date: 2010-06
    Issue Date: 2011-10-23 16:39:24 (UTC+8)
    Publisher: Heidelberg: Springer
    Abstract: This article discusses a life test under progressive type-I group-censoring. We use maximum likelihood method to obtain the point and interval estimators of the parameter of lifetime distribution. In order to obtain a precise estimate of mean life, one needs to design an optimal life test. Thus, this article proposes an approach to determine the number of test units, number of inspections, and length of inspection interval of a life test under a pre-determined budget of experiment such that the asymptotic variance of estimator of mean life is minimum. The method will be applied to two numerical examples and the sensitivity analysis will be investigated.
    Relation: Statistical Papers 51(2), pp.431-443
    DOI: 10.1007/s00362-009-0212-1
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML5View/Open
    Optimal progressive group-censoring plans for exponential distribution in presence of cost constraint.pdf175KbAdobe PDF0View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


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