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| Title: | Dichotomous-Data Reliability Models with Auxiliary Measurements |
| Authors: | 俞一唐
Yu, I-Tang |
| Contributors: | 傅承德
余清祥
Fuh, Cheng-Der
Yue, Ching-Syang
俞一唐
Yu, I-Tang |
| Keywords: | 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 |
| Date: | 2003 |
| Issue Date: | 2009-09-17 18:43:54 (UTC+8) |
| Abstract: | 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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| Description: | 國立政治大學
統計研究所
86354503
92 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0086354503 |
| Data Type: | thesis |
| Appears in Collections: | [統計學系] 學位論文
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