Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/33887
題名: Dichotomous-Data Reliability Models with Auxiliary Measurements
作者: 俞一唐
Yu, I-Tang
貢獻者: 傅承德<br>余清祥
Fuh, Cheng-Der<br>Yue, Ching-Syang
俞一唐
Yu, I-Tang
關鍵詞: 拔靴法
衰變量
二元資料
電火工品
EM演算法
bootstrap method
degradation measurement
dichotomous data
electro-explosive device
EM-algorithm
latent variables
Markov Chain Monte Carlo
reliability
日期: 2003
上傳時間: 17-Sep-2009
摘要: 我們提供一個新的可靠度模型,DwACM,並提供一個模式選擇準則CCP,我們利用DwACM和CCP來選擇衰變量。
We propose a new reliability model, DwACM (Dichotomous-data with Auxiliary Continuous Measurements model) to describe a data set which consists of classical dichotomous response (Go or No Go) associated with a set of continuous auxiliary measurement. In this model, the lifetime of each individual is considered as a latent variable. Given the value of the latent variable, the dichotomous response is either 0 or 1\ndepending on if it fails or not at the measuring time. The continuous measurement can be regarded as observations of an underlying possible degradation candidate of which descending process is a function of the lifetime. Under the assumption that the failure of products is defined as the time at which the\ncontinuous measurement reaches a threshold, these two measurements can be linked in the proposed model. Statistical inference under this model are both in frequentist and Bayesian frameworks. To evaluate the continuous measurements, we provide a criterion, CCP (correct classification probability),\nto select the best degradation measurement. We also report our\nsimulation studies of the performances of parameters estimators and CCP.
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描述: 國立政治大學
統計研究所
86354503
92
資料來源: http://thesis.lib.nccu.edu.tw/record/#G0086354503
資料類型: thesis
Appears in Collections:學位論文

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