IGNORABLE AND INFORMATIVE DESIGNS IN SURVEY SAMPLING INFERENCE
成果类型：
Article
署名作者：
SUGDEN, RA; SMITH, TMF
署名单位：
University of Southampton
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
发表日期：
1984
页码：
495506
关键词：
摘要：
The role of the sample selection mechanism in a model-based approach to finite population inference is examined. When the data analyst has only partial information on the sample design then a design which is ignorable when known fully may become informative. Conditions under which partially known designs can be ignored are established and examined for some standard designs. The results are illustrated by an example used by Scott (1977).