淡江大學機構典藏:Item 987654321/123284
English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 64191/96979 (66%)
造訪人次 : 8296171      線上人數 : 7041
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/123284


    題名: The evaluation on the process capability index CL for exponentiated Frech’et lifetime product under progressive type I interval censoring
    作者: Wu, Shu-Fei;Chang, Wei-Tsung
    關鍵詞: progressive type I interval censoring;lifetime performance index;exponentiated Frech’et distribution;maximum likelihood estimator;hypothesis testing procedure
    日期: 2021-06-08
    上傳時間: 2023-04-28 17:33:09 (UTC+8)
    出版者: MDPI AG
    摘要: We present the likelihood inferences on the lifetime performance index CL to evaluate the performance of lifetimes of products following the skewed Exponentiated Frech’et distribution in many manufacturing industries. This research is related to the topic of skewed Probability Distributions and Applications across Disciplines. Exponentiated Frech’et distribution is a generalization of some lifetime distributions. The maximum likelihood estimator for CL for lifetimes with exponentiated Frech’et distribution is derived to develop a computational testing procedure so that experimenters can implement it to test whether the lifetime performance reached the pre-assigned level of significance with a given lower specification limit under progressive type I interval censoring. At the end, two examples are provided to demonstrate the implementation on the algorithm for our proposed computational testing procedure.
    關聯: Symmetry 13(6)
    DOI: 10.3390/sym13061032
    顯示於類別:[統計學系暨研究所] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML134檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

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