Estimating the Parameters of the Mixture of Proportional Hazards Models with Three Types of Data
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概要
- 論文の詳細を見る
Cox's proportional hazards model (PHM) has been widely applied in the analysis of lifetime data. It involves covariates influencing the times to the failure of a system. In this article, the covariates are assumed to be discrete random variables, and a mixed proportional hazards model is derived. We consider three types of data; one type of experimental data and two types of field data. We investigate estimation in the mixed PHM with these three types of data. We develop maximum likelihood techniques for joint estimation of distribution parameters, mixing proportions, and a regression parameter using the Expectation-Maximization(EM) algorithm.
- 社団法人電子情報通信学会の論文
- 2002-11-08
著者
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KIM Jong
Department of Chemical Engineering, Dong A University
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Yun W
Pusan National Univ. Busan Kor
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Yun Won
Department of Industrial Engineering, Pusan National University
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Yun Won
Department Of Industrial Engineering Pusan National University
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Kim Jong
Department Of Agricultural Chemistry Faculty Of Agriculture Kyoto University
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Kim Jong
Department Of Industrial Engineering Pusan National University
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Kim Jong
Department Of Agricultural Bio-resources National Academy Of Agricultural Science Rural Development
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