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Maximum Likelihood Estimation from Grouped Poisson Data

 

作者: WalterH. Carter,   JacobVan Bowen,   RaymondH. Myers,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1971)
卷期: Volume 66, issue 334  

页码: 351-353

 

ISSN:0162-1459

 

年代: 1971

 

DOI:10.1080/01621459.1971.10482267

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

In this article, sufficient conditions are given for the existence of a unique solution of the likelihood equation which results from a grouped data sample. The necessary and sufficient conditions for the convergence of a sequence defined by the method of successive approximations to this unique solution are also given. Finally, it is shown that when the groups from an underlying Poisson distribution are connected the method of successive approximations will converge to the unique solution of the resulting likelihood equation regardless of the starting value chosen provided that the sample is not concentrated entirely in either or both the first and last groups.

 

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