淡江大學機構典藏:Item 987654321/91612
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62805/95882 (66%)
造访人次 : 3943265      在线人数 : 788
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: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/91612


    题名: Computational testing algorithmic procedure of assessment for lifetime performance index of products with two-parameter exponential distribution based on the multiply type II censored sample
    作者: Wu, Shu-Fei;Chiu, Chien-Ju
    贡献者: 淡江大學統計學系
    关键词: process capability indices;exponential distribution;multiply type II censored sample;weighted moments estimator;approximate maximum-likelihood estimator;best linear unbiased estimator;testing algorithmic procedure
    日期: 2013-05-05
    上传时间: 2013-07-17 21:53:30 (UTC+8)
    出版者: Abingdon: Taylor & Francis
    摘要: Process capability indices have been widely used to evaluate the process performance to the continuous improvement of quality and productivity. Since the lifetime of products may possess a two-parameter exponential distribution, 14 estimators are used to estimate the lifetime performance index based on the multiply type II censored sample. These estimators are utilized to develop the new hypothesis testing algorithmic procedure in the condition of known L. Finally, two practical examples are illustrated to employ the testing algorithmic procedure to determine whether the process is capable.
    關聯: Journal of Statistical Computation and Simulation 84(10), pp.2106-2122
    DOI: 10.1080/00949655.2013.783581
    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
    Computational testing algorithmic procedure of assessment for lifetime performance index of products with two-parameter exponential distribution based on the multiply type II censored sample.pdf519KbAdobe PDF0检视/开启
    index.html0KbHTML93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