English  |  正體中文  |  简体中文  |  Items with full text/Total items : 49432/84393 (59%)
Visitors : 7451081      Online Users : 96
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/987654321/91612

    Title: 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
    Authors: Wu, Shu-Fei;Chiu, Chien-Ju
    Contributors: 淡江大學統計學系
    Keywords: process capability indices;exponential distribution;multiply type II censored sample;weighted moments estimator;approximate maximum-likelihood estimator;best linear unbiased estimator;testing algorithmic procedure
    Date: 2013-05-05
    Issue Date: 2013-07-17 21:53:30 (UTC+8)
    Publisher: Abingdon: Taylor & Francis
    Abstract: 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.
    Relation: Journal of Statistical Computation and Simulation 84(10), pp.2106-2122
    DOI: 10.1080/00949655.2013.783581
    Appears in Collections:[統計學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat

    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