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检索条件"主题词=MCEM algorithm"
47 条 记 录,以下是41-50 订阅
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Maximum likelihood analysis of a general latent variable model with hierarchically mixed data
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BIOMETRICS 2004年 第3期60卷 624-636页
作者: Lee, SY Song, XY Chinese Univ Hong Kong Dept Stat Hong Kong Hong Kong Peoples R China Sun Yat Sen Univ Guangzhou Peoples R China
A general two-level latent variable model is developed to provide a comprehensive framework for model comparison of various submodels. Nonlinear relationships among the latent variables in the structural equations at ... 详细信息
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Local influence analysis for mixture of structural equation models
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JOURNAL OF CLASSIFICATION 2004年 第1期21卷 111-137页
作者: Song, XY Lee, SY Chinese Univ Hong Kong Dept Stat Shatin Hong Kong Peoples R China Sun Yat Sen Univ Guangzhou Peoples R China
Finite mixture of structural equation models is very useful to analyze data from heterogeneous populations. In this article, we present a feasible procedure to assess local influence of minor perturbations for identif... 详细信息
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Maximum likelihood estimation and model comparison of nonlinear structural equation models with continuous and polytomous variables
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2003年 第1-2期44卷 125-142页
作者: Lee, SY Song, XY Chinese Univ Hong Kong Inst Stat Dept Stat Hong Kong Hong Kong Peoples R China Zhongshan Univ Guangzhou Peoples R China
Recently, it is recognized that nonlinear relationships among latent variables in a structural equation model are important. In this article, maximum likelihood (ML) analysis of a general nonlinear structural equation... 详细信息
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Maximum likelihood estimation and model comparison for mixtures of structural equation models with ignorable missing data
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JOURNAL OF CLASSIFICATION 2003年 第2期20卷 221-255页
作者: Lee, SY Song, XY Chinese Univ Hong Kong Dept Stat Shatin Hong Kong Peoples R China Zhongshan Univ Guangzhou Peoples R China
The objective of this paper is to develop the maximum likelihood approach for analyzing a finite mixture of structural equation models with missing data that are missing at random. A Monte Carlo EM algorithm is propos... 详细信息
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Maximum likelihood estimation of nonlinear structural equation models with ignorable missing data
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JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICS 2003年 第2期28卷 111-134页
作者: Lee, SY Song, XY Lee, JCK Chinese Univ Hong Kong Dept Stat Sha Tin 100083 Hong Kong Peoples R China Chinese Univ Hong Kong Fac Educ Dept Curriculum & Instruct Shabin Hong Kong Peoples R China
The existing maximum likelihood theory and its computer software in structural equation modeling are established on the basis of linear relationships among latent variables with fully observed data. However, in social... 详细信息
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Maximum likelihood inference for multivariate frailty models using an automated Monte Carlo EM algorithm
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LIFETIME DATA ANALYSIS 2002年 第4期8卷 349-360页
作者: Ripatti, S Larsen, K Palmgren, J Univ Helsinki Rolf Nevanlinna Inst FIN-00014 Helsinki Finland Stockholm Univ Dept Matemat Stat Stockholm Sweden Univ Copenhagen Dept Biostat DK-1168 Copenhagen Denmark Karolinska Inst S-10401 Stockholm Sweden
We present a maximum likelihood estimation procedure for the multivariate frailty model. The estimation is based on a Monte Carlo EM algorithm. The expectation step is approximated by averaging over random samples dra... 详细信息
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Parameter estimate with only one complete failure observation using Monte Carlo EM algorithm
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International Journal of Reliability, Quality and Safety Engineering 2001年 第2期8卷 109-122页
作者: Pang, Wan-Kai Leung, Ping-Kei Xiao-Long, P.U. Shi-Song, Mao Department of Applied Mathematics Hong Kong Polytechnic University Hong Kong Department of Statistics East China Normal University Shanghai China
In reliability studies, often we only have one failure data recorded in a life testing experiment. If there are two parameters in the reliability model, such as the model using Weibull distribution, then maximum likel... 详细信息
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