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    題名: Dichotomous-Data Reliability Models with Auxiliary Measurements
    作者: 俞一唐
    Yu, I-Tang
    貢獻者: 傅承德
    余清祥
    Fuh, Cheng-Der
    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: 2009-09-17 18:43:54 (UTC+8)
    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
    depending 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
    continuous 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),
    to select the best degradation measurement. We also report our
    simulation 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
    顯示於類別:[統計學系] 學位論文

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