.png){kind=icon}
返回
EXTENSIONS OF ESTIMATION METHODS USING THE EM ALGORITHM
.png){kind=icon}
PRE
AI
DOI：10.1016/0304-4076(91)90001-T.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The EM algorithm described by Dempster, Laird, and Rubin (1977) is reviewed with the purpose of clarifying several misconceptions in the statistical and econometric literature. The clarifications lead to several applications of the algorithm to models that have appeared to be less tractable. The relationship between the EM algorithm and the method of scoring is also explained, providing estimators of the score and the information from the EM algorithm. The EM algorithm is extended to missing-data problems and an estimation method based on simulations.
Keyword:
MAXIMUM LIKELIHOOD ESTIMATOR
DEPENDENT VARIABLES
REGRESSION-MODEL
CONVERGENCE
INFORMATION
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4
论文数:
5.2K
被引数:
3.0W
机构
暂无机构信息
引用论文
分享收藏
分享收藏A METHOD FOR MINIMIZING THE IMPACT OF DISTRIBUTIONAL ASSUMPTIONS IN ECONOMETRIC-MODELS FOR DURATION DATA.png)
ECONOMETRICA
ECONOMETRICAIF7.1
PREAI
分享收藏
查看更多内容