ESTIMATION OF THE POISSON PARAMETER FROM TRUNCATED SAMPLES AND FROM CENSORED SAMPLES
成果类型：
Article
署名作者：
COHEN, AC
刊物名称：
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
ISSN/ISSBN：
0162-1459
DOI：
10.2307/2281042
发表日期：
1954
页码：
158-168
关键词：
摘要：
Maximum likelihood estimators of the Poisson parameter applicable to both truncated and censored samples are derived in this paper. Singly and doubly truncated samples are considered. The estimators obtained are presented in simple algebraic forms and their application to practical problems with the aid of standard Poisson tables is illustrated with numerical examples. Asymptotic variances of estimates for the different cases considered are obtained from second derivatives of the likelihood functions and are simplified to forms which permit ready evaluation.