Latent Class Models in Monte CarloMarkov Chain Analysis
碩士 === 中原大學 === 應用數學研究所 === 101 === The concepts of latent class models are easy to understand.Maximum likelihood estimations (MLE) and EM algorithm are two methods used to estimate the latent class parameters. In this paper, we use the WinBUGS software and the Monte Carlo Markov Chain (MCMC) method...
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ndltd-TW-101CYCU55070802015-10-13T22:40:30Z http://ndltd.ncl.edu.tw/handle/98064920191257873241 Latent Class Models in Monte CarloMarkov Chain Analysis 潛在類別模型的蒙地卡羅馬可夫鍊分析 Wei-Hung Yin 尹維烘 碩士 中原大學 應用數學研究所 101 The concepts of latent class models are easy to understand.Maximum likelihood estimations (MLE) and EM algorithm are two methods used to estimate the latent class parameters. In this paper, we use the WinBUGS software and the Monte Carlo Markov Chain (MCMC) methods to estimate these latent class parameters and conditional probabilities. We apply the techniques to analyze the CYCU calculus examinations. Yu-Jau Lin Zu-Wei Zheng 林余昭 鄭子韋 2013 學位論文 ; thesis 70 zh-TW |
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碩士 === 中原大學 === 應用數學研究所 === 101 === The concepts of latent class models are easy to understand.Maximum likelihood estimations (MLE) and EM algorithm are two methods used to estimate the latent class parameters. In this paper, we use the WinBUGS software and the Monte Carlo Markov Chain (MCMC) methods to estimate these latent class parameters and conditional probabilities. We apply the techniques to analyze the CYCU calculus examinations.
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Yu-Jau Lin |
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Yu-Jau Lin Wei-Hung Yin 尹維烘 |
author |
Wei-Hung Yin 尹維烘 |
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Wei-Hung Yin 尹維烘 Latent Class Models in Monte CarloMarkov Chain Analysis |
author_sort |
Wei-Hung Yin |
title |
Latent Class Models in Monte CarloMarkov Chain Analysis |
title_short |
Latent Class Models in Monte CarloMarkov Chain Analysis |
title_full |
Latent Class Models in Monte CarloMarkov Chain Analysis |
title_fullStr |
Latent Class Models in Monte CarloMarkov Chain Analysis |
title_full_unstemmed |
Latent Class Models in Monte CarloMarkov Chain Analysis |
title_sort |
latent class models in monte carlomarkov chain analysis |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/98064920191257873241 |
work_keys_str_mv |
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