English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62805/95882 (66%)
Visitors : 3960093      Online Users : 277
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/987654321/114444


    Title: 具異質性Burr XII 型分配下複合動態系統的可靠度研究
    Other Titles: Reliability inference on composite dynamic systems based on Burr type-XII distribution under heterogeneity
    Authors: 李依潔;LI, YI-JIE
    Contributors: 淡江大學統計學系碩士班
    蔡宗儒
    Keywords: Bayesian estimation;Hazard function;Markov chain Monte Carlo algorithm;Maximum likelihood estimation;Order Statistic;貝氏估計;風險函數;馬可夫鏈蒙地卡羅演算法;最大概似估計;順序統計量
    Date: 2017
    Issue Date: 2018-08-03 14:52:47 (UTC+8)
    Abstract: 複合動態系統廣泛地存在可靠度的應用中,在複合動態系統的設計中,每一元件的失效,皆會造成存活的元件需要承受更高的應力,並增加故障率。本論文使用Burr XII型分配作為元件壽命的基準分配,採用次方趨勢條件比例故障率模型描述系統的元件失效風險,使用Metropolis-Hasting馬可夫鏈蒙地卡羅演算法來估計模型中的參數,並以蒙地卡羅模擬評估估計方法的成效。
    The composite dynamic system has been widely used in practical reliability applications. In the design of composite dynamic system, each component failure induces higher loading on surviving components, and then increases the hazard rate of surviving components. We consider using the Burr type-XII distribution as the lifetime model of components in a composite dynamic system and use power-trend hazard rate function to model the hazard function. Moreover, we develop the Metropolis-Hasting Markov chain Monte Carlo procedure for estimating the model parameters. A simulation study is carried out to evaluate the performance of the proposed estimation method.
    Appears in Collections:[Graduate Institute & Department of Statistics] Thesis

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML128View/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