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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