English  |  正體中文  |  简体中文  |  Items with full text/Total items : 63246/95943 (66%)
Visitors : 4840267      Online Users : 154
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: https://tkuir.lib.tku.edu.tw/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

    Files in This Item:

    File Description SizeFormat
    Optimal progressive group censoring scheme under cost considerations for pareto distribution.pdf284KbAdobe PDF1View/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