Stopping rules and the likelihood function

被引：5

作者：

Lindsey, JK ^{[1
]}

机构：

[1] LIMBURGS UNIV CTR,B-3590 DIEPENBEEK,BELGIUM

来源：

JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 1997年 / 59卷 / 01期

关键词：

Bayesian inference; direct likelihood inference; exponential family; frequentist inference; likelihood function; performable experiment; sample design; sequential methods; stopping rule; sufficient statistic;

D O I：

10.1016/S0378-3758(96)00096-1

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Conditions are investigated whereby the likelihood function contains all of the relevant information from the data necessary for inference, with no knowledge of the sample design. Certain designs which result in the same reported likelihood for the final stopped experiment in fact have different underlying likelihood functions. For a likelihood function to be valid, it must, at least, contain the minimum information necessary for the experiment to be performable; this is shown to be the minimal filtration of the experiment.

引用

页码：167 / 177

页数：11

共 26 条

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