The Estimation of the Log-Linear Model with Measurement Errors and Random Effects
碩士 === 淡江大學 === 數學學系碩士班 === 102 === There are not many literatures discuss the statistical inference when the measurement error and random effect exist in the generalized linear model. The main reason is that the distribution after integrating the random effect is no longer a generalized linear mode...
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2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/61273041689057506753 |
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ndltd-TW-102TKU054790172016-03-07T04:10:45Z http://ndltd.ncl.edu.tw/handle/61273041689057506753 The Estimation of the Log-Linear Model with Measurement Errors and Random Effects 具有隨機效應及測量誤差之對數線性模型的參數估計方法 Yi-Hao Ting 丁怡皓 碩士 淡江大學 數學學系碩士班 102 There are not many literatures discuss the statistical inference when the measurement error and random effect exist in the generalized linear model. The main reason is that the distribution after integrating the random effect is no longer a generalized linear model, hence the conventional conditional score or corrected score are difficult in application. This paper discussed the estimation method when measurement error and random effect coexist in the log-linear model, the estimation was done by an extended corrected QVF score. We compare the efficient of the methods of Naive, regression calibration and partially conditional score with the proposed method by simulation studies. 黃逸輝 2014 學位論文 ; thesis 31 zh-TW |
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碩士 === 淡江大學 === 數學學系碩士班 === 102 === There are not many literatures discuss the statistical inference when
the measurement error and random effect exist in the generalized linear
model. The main reason is that the distribution after integrating the random
effect is no longer a generalized linear model, hence the conventional
conditional score or corrected score are difficult in application. This
paper discussed the estimation method when measurement error and random
effect coexist in the log-linear model, the estimation was done by an
extended corrected QVF score. We compare the efficient of the methods of
Naive, regression calibration and partially conditional score with the
proposed method by simulation studies.
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| author2 |
黃逸輝 |
| author_facet |
黃逸輝 Yi-Hao Ting 丁怡皓 |
| author |
Yi-Hao Ting 丁怡皓 |
| spellingShingle |
Yi-Hao Ting 丁怡皓 The Estimation of the Log-Linear Model with Measurement Errors and Random Effects |
| author_sort |
Yi-Hao Ting |
| title |
The Estimation of the Log-Linear Model with Measurement Errors and Random Effects |
| title_short |
The Estimation of the Log-Linear Model with Measurement Errors and Random Effects |
| title_full |
The Estimation of the Log-Linear Model with Measurement Errors and Random Effects |
| title_fullStr |
The Estimation of the Log-Linear Model with Measurement Errors and Random Effects |
| title_full_unstemmed |
The Estimation of the Log-Linear Model with Measurement Errors and Random Effects |
| title_sort |
estimation of the log-linear model with measurement errors and random effects |
| publishDate |
2014 |
| url |
http://ndltd.ncl.edu.tw/handle/61273041689057506753 |
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