ON CONDITIONAL INFERENCE FOR A REAL PARAMETER - A DIFFERENTIAL APPROACH ON THE SAMPLE SPACE
成果类型：
Article
署名作者：
FRASER, DAS; REID, N
署名单位：
University of Toronto
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/75.2.251
发表日期：
1988
页码：
251264
关键词：
摘要：
A one-dimensional conditional procedure defines a partition of the sample space into curves which can be represented by means of a unit vector field. A formula is given for the conditional distribution in terms of local properties of the vector field. Conditions are developed for reducing the first-order effects of nuisance parameters and reproducing to higher order the likelihood changes for the parameter of interest. The emphasis is on extending exponential family methods after locally approximating the statistical model by an exponential family.