The likelihood ratio approximation to the conditional distribution of the maximum likelihood estimator in the discrete case

被引:3
|
作者
Severini, TA [1 ]
机构
[1] Northwestern Univ, Dept Stat, Evanston, IL 60208 USA
基金
美国国家科学基金会;
关键词
ancillary statistic; asymptotic theory; lattice distribution; likelihood; maximum likelihood estimator;
D O I
10.1093/biomet/87.4.939
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The likelihood ratio approximation, also called Barndorff-Nielsen's approximation and often denoted by p*, provides a highly accurate approximation to the conditional density of a maximum likelihood estimator <(<theta>)over cap> given an ancillary statistic. In this paper, the properties of p* are considered for the case in which the underlying random variables have a lattice distribution and <(<theta>)over cap> has a discrete, but not necessarily lattice, distribution. If <(<theta>)over cap> has a lattice distribution,;then p* provides a valid approximation to the density of <(<theta>)over cap> with respect to counting measure. If the distribution of <(<theta>)over cap> is non-lattice, then p* is still a valid approximation to the conditional density of <(<theta>)over cap> however, the dominating measure is no longer counting measure.
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页码:939 / 945
页数:7
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