ON CONDITIONING FOR MODEL-BASED INFERENCE IN SURVEY SAMPLING
成果类型：
Article
署名作者：
SKINNER, CJ
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
发表日期：
1988
页码：
275286
关键词：
摘要：
A ''discontinuity'' of sampling distribution inference between a prediction problem and an estimation problem in model-based survey sampling is discussed. The problem is resolved by conditioning on an appropriate ancillary within a curved exponential family framework. The ignorability of the sampling design for inference is discussed.