EFFICIENT CONDITIONAL TESTS FOR MIXTURE EXPERIMENTS WITH APPLICATIONS TO THE BIRTH AND BRANCHING-PROCESSES
成果类型：
Article
署名作者：
BASAWA, IV
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/68.1.153
发表日期：
1981
页码：
153164
关键词：
摘要：
Conditional tests, which are efficient in the sense of being uniformly most powerful unbiased for any sample size and are also asymptotically efficient with reference to a relevant likelihood in the sense of maximizing asymptotic power at alternatives converging to the null hypothesis, are derived for mixture experiments involving dependent observations. As simple applications efficient tests in birth processes, branching processes, stable additive processes, etc., are derived.