A KERNEL-METHOD FOR ESTIMATING FINITE POPULATION-DISTRIBUTION FUNCTIONS USING AUXILIARY INFORMATION
成果类型：
Article
署名作者：
KUK, AYC
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/80.2.385
发表日期：
1993
页码：
385392
关键词：
摘要：
This paper considers the use of auxiliary information to improve the estimation of the distribution function of a finite population. A method is proposed which combines the known distribution of the auxiliary variable with a kernel estimate of the conditional distribution of the survey variable given the value of the auxiliary variable. The resulting estimator compares favourably with existing estimators in terms of efficiency, conditional behaviour and robustness. The proposed method also has the advantage of producing estimates which are bona fide distribution functions. This is not the case for many calibration type estimators suggested in the literature. Finally, the proposed method is applicable under any probability sampling scheme.