ON A PROPERTY OF DISTRIBUTIONS ADMITTING SUFFICIENT STATISTICS
成果类型：
Article
署名作者：
HUZURBAZAR, VS
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/36.1-2.71
发表日期：
1949
页码：
7174
关键词：
摘要：
For a distribution with probability density function [image] and likelihood function L, it is shown that [image] where both evaluations are made at [theta]j the maximum likelihood estimates of the [theta]j This property is used to simplify calculations of the variances and covariances of the maximum likelihood estimates for large samples. In case the [theta] are linearly independent, it follows that the likelihood equations have a unique maximizing solution for samples of any size.