ESTIMATING DISTRIBUTION-FUNCTIONS FROM SURVEY DATA
成果类型：
Article
署名作者：
CHAMBERS, RL; DUNSTAN, R
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
发表日期：
1986
页码：
597604
关键词：
摘要：
A simple method for estimating population distribution functions and associated quantiles from sample survey data is described and some asymptotic theory for it presented. The method assumes a model-based approach to survey estimation and allows auxillary population information to be directly incorporated into the estimation process. Monte Carlo results comparing the proposed method with conventional design-based methods are given. These suggest that the model-based approach offers significant gains when the auxillary population information is linearly related to the survey variables of interest.