Acceptance sampling plans under progressive type-II censoring for the Weibull lifetime distribution based on Bayesian method

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Title:	Acceptance sampling plans under progressive type-II censoring for the Weibull lifetime distribution based on Bayesian method
Other Titles:	基於貝氏方法在逐步型二設限下對韋伯壽命分配的允收抽樣計畫
Authors:	黃思縈;Huang, Szu-ying
Contributors:	淡江大學統計學系碩士班蔡宗儒;Tsai, Tzong-ru
Keywords:	逆伽瑪分配;壽命檢驗計畫;損失函數;先驗分配;逐步型二設限檢驗;Inverted gamma distribution;Life test plan,;Loss function;Prior distribution;Progressively Type-II censored test
Date:	2007
Issue Date:	2010-01-11 04:38:05 (UTC+8)
Abstract:	本論文以逐步型二設限在韋伯壽命分配下，引用貝氏決策理論建立允收抽樣計畫。假設韋伯分配的形狀參數已知，但尺度參數是隨機的且依照一個已知的先驗分配逐批變動，本論文使用一個包含抽樣成本、檢驗成本以及決策損失的損失函數來描述貝氏風險。此外，本文也提出一個能找出最小化每單位平均成本的最佳貝氏允收抽樣計畫程序，並根據此程序對批量大小、設限計畫表和先驗分配的參數做敏感度分析，進而衡量其影響。 The thesis employs Bayesian decision theory to establish acceptance sampling plans for the Weibull lifetime distribution based upon progressively Type-II censored data. Assume that the shape parameter of the lifetime distribution is known, but the scale parameter is random and varies from lot to lot according to a predetermined prior distribution. A loss function involving sampling cost, test cost and decision loss is proposed to describe the Bayes risk. Moreover, an algorithm is suggested to determine the optimal sampling plans which minimize the expected average cost per lot. A sensitivity analysis study is conducted to evaluate the influences of the lot size, the censoring scheme and the parameter of the prior distribution on the proposed sampling plans.
Appears in Collections:	[Graduate Institute & Department of Statistics] Thesis

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