LOCAL ANCILLARITY IN THE PRESENCE OF A NUISANCE PARAMETER

被引:6
作者
SEVERINI, TA
机构
关键词
ASYMPTOTIC THEORY; CONDITIONAL INFERENCE; INFORMATION; LIKELIHOOD INFERENCE; LOCAL INFERENCE;
D O I
10.2307/2337201
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Approximate ancillarity in the presence of a nuisance parameter is considered. A theory of approximate S-ancillarity, based on the concept of local ancillarity introduced by Cox (1980), is developed. First- and second-order local S-ancillarity are considered in detail and these results are applied to several examples. These examples indicate that, although first-order local S-ancillarity is a weak condition, second-order local S-ancillarity is too strong a requirement for general use. Hence, a second aspect of the paper is a study of the properties of an approximately ancillary statistic that are desirable for inference in the presence of a nuisance parameter; this leads to a weaker definition of local ancillarity in the presence of a nuisance parameter that is satisfied in many cases.
引用
收藏
页码:305 / 320
页数:16
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