ON ESTIMATING DISTRIBUTION-FUNCTIONS AND QUANTILES FROM SURVEY DATA USING AUXILIARY INFORMATION
成果类型：
Article
署名作者：
RAO, JNK; KOVAR, JG; MANTEL, HJ
署名单位：
Statistics Canada
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.2307/2336815
发表日期：
1990
页码：
365375
关键词：
摘要：
Ratio and difference estimators of a population distribution function under a general sampling design are obtained, using auxiliary population information. The relative mean errors and relative mean square errors of these estimators and a model-based estimator of Chambers and Dunstan (1986) are compared through a simulation study. The advantages of the design-based estimators over the model-based estimator under model misspecifications, especially for large samples, are demonstrated. Ratio and difference estimators of a population quantile are also studied.