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Estimating the parameters of hidden binomial trials by the EM algorithm
Zhu, Degang1,2
刊名HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS
2014-12
卷号43期号:5页码:885-890
关键词Maximum likelihood EM algorithm incomplete data hidden binomial trials identity
ISSN号1303-5010
英文摘要The EM algorithm has become a popular efficient iterative procedure to compute the maximum likelihood (ML) estimate in the presence of incomplete data. Each iteration of the EM algorithm involves two steps called expectation step (E-step) and maximization step (M-step). Complexity of statistical model usually makes the iteration of maximization step difficult. An identity on which the derivation of the EM algorithm is based is presented. It is showed that deriving iteration formula of parameter of hidden binomial trials based on the identity is much simpler than that in common M-step.
WOS研究方向Mathematics
语种英语
出版者HACETTEPE UNIV, FAC SCI
WOS记录号WOS:000347016500020
内容类型期刊论文
源URL[http://10.2.47.112/handle/2XS4QKH4/1653]  
专题上海财经大学
通讯作者Zhu, Degang
作者单位1.Nanjing Forestry Univ, Dept Appl Math, Nanjing 210037, Jiangsu, Peoples R China
2.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai 200433, Peoples R China;
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Zhu, Degang. Estimating the parameters of hidden binomial trials by the EM algorithm[J]. HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS,2014,43(5):885-890.
APA Zhu, Degang.(2014).Estimating the parameters of hidden binomial trials by the EM algorithm.HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS,43(5),885-890.
MLA Zhu, Degang."Estimating the parameters of hidden binomial trials by the EM algorithm".HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS 43.5(2014):885-890.
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