Asymptotic properties of maximum likelihood estimators based on progressive Type-II censoring

被引：0
作者：
Chien-Tai Lin
N. Balakrishnan
机构：
[1] Tamkang University,Department of Mathematics
[2] McMaster University,Department of Mathematics and Statistics
来源：
Metrika | 2011年 / 74卷
关键词：
Asymptotic theory; Consistency; Maximum likelihood; Progressive Type-II censoring; Missing information principle;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Hoadley (Ann Math Stat 42:1977–1991, 1971) studied the weak law of large numbers for independent and non-identically distributed random variables. Using that result along with the missing information principle, we establish the consistency and asymptotic normality of maximum likelihood estimators based on progressively Type-II censored samples.
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页码：349 / 360
页数：11
相关论文
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