淡江大學機構典藏:Item 987654321/41345
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 58323/91877 (63%)
造访人次 : 14380740      在线人数 : 156
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/987654321/41345


    题名: Exact inference and prediction for K-sample exponential case under type-II censoring
    作者: Balakrishnan, N.;林千代;Lin, Chien-tai
    贡献者: 淡江大學數學學系
    关键词: Best linear unbiased estimator;Exponential distribution;K-sample doubly Type-II censored sample;Normalized spacings;Order statistics
    日期: 2005-05
    上传时间: 2010-01-28 07:21:05 (UTC+8)
    出版者: Taylor & Francis
    摘要: The exact inference and prediction intervals for the K-sample exponential scale parameter under doubly Type-II censored samples are derived using an algorithm of Huffer and Lin [Huffer, F.W. and Lin, C.T., 2001, Computing the joint distribution of general linear combinations of spacings or exponen-tial variates. Statistica Sinica, 11, 1141–1157.]. This approach provides a simple way to determine the exact percentage points of the pivotal quantity based on the best linear unbiased estimator in order to develop exact inference for the scale parameter as well as to construct exact prediction intervals for failure times unobserved in the ith sample. Similarly, exact prediction intervals for failure times of units from a future sample can also be easily obtained.
    關聯: Journal of Statistical Computation and Simulation 75(5), pp.315-331
    DOI: 10.1080/0094965031000097214
    显示于类别:[數學學系暨研究所] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    Exact inference and prediction for K-sample exponential case under type-II censoring.pdf397KbAdobe PDF0检视/开启
    index.html0KbHTML109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