English  |  正體中文  |  简体中文  |  Items with full text/Total items : 57023/90721 (63%)
Visitors : 12427156      Online Users : 80
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/987654321/33847


    Title: Bayesian sampling plans for type I censored data with an early decision rule
    Other Titles: 型一設限貝氏抽樣計畫之提前決策規則
    Authors: 周玟菁;Chou, Wen-ching
    Contributors: 淡江大學統計學系碩士班
    蔡宗儒;Tsai, Tzong-ru
    Keywords: 貝氏風險;指數分配;損失函數;抽樣計畫;型一設限;Bayes risk;Exponential distribution;Loss function;Sampling plan;Type I censoring
    Date: 2009
    Issue Date: 2010-01-11 04:35:59 (UTC+8)
    Abstract: 本論文對型一設限指數分配壽命資料建立貝氏抽樣計畫之提前
    決策規則。本提前決策規則有助於決策者在設限時間之前尋找到最
    佳的貝氏決策。文中並提供一個執行提前貝氏決策的演算法。我們
    舉出兩個實例說明所建議方法之應用,並在模擬研究下利用數值分
    析的方法來評估所提出的提前決策規則之績效。數值結果指出,本
    文建議的方法很容易使用,並可有效地在型一設限資料下的貝氏抽
    樣計畫中達到提前決策。
    表單編號:ATRX-Q03-001-FM030-01
    The thesis introduces an early decision rule to the design of Bayesian
    sampling plans for the exponential distribution with type I censoring. Using
    the proposed early decision rule, a Bayesian decision could be reached before
    the censoring time. An algorithm for implementing an early Bayesian decision
    is provided. Two examples are used for illustrating the proposed method.
    An intensive simulation study is conducted, and performance of the proposed
    early decision rule is evaluated numerically. Numerical results show that
    the proposed method is easy to operate and helps to reach an early decision
    for typical Bayesian sampling plans with type I censoring.
    表單編號:ATRX-Q03-001-FM031-01
    Appears in Collections:[Graduate Institute & Department of Statistics] Thesis

    Files in This Item:

    File SizeFormat
    0KbUnknown366View/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