Maximum Likelihood Estimation with Incomplete Multinomial Data
作者:
R.R. Hocking,
H.H. Oxspring,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1971)
卷期:
Volume 66,
issue 333
页码: 65-70
ISSN:0162-1459
年代: 1971
DOI:10.1080/01621459.1971.10482220
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
When sampling from a multinomial population, it may happen either by chance or by design that some of the observations are only partially classified. In this article the amount of information in the partially classified observation is evaluated, and maximum likelihood estimators are obtained using both completely classified and partially classified data. In general an iterative solution is required, but special cases are identified in which the solution is obtained in closed form.
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