MAXIMUM-LIKELIHOOD-ESTIMATION WITH PARTIALLY CENSORED-DATA
成果类型:
Article
署名作者:
VANDERVAART, A
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
DOI:
10.1214/aos/1176325763
发表日期:
1994
页码:
1896-1916
关键词:
mixture likelihoods
distributions
geometry
摘要:
Suppose one observes independent samples of size n from both the mixture density integral p(x\z)d eta(z) and from the distribution eta. The kernel p(x\z) is known. We show asymptotic normality and efficiency of the maximum likelihood estimator for eta.