A Multiplicative Bias Correction for Nonparametric Approach and the Two Sample Problem in Sample Survey
A Multiplicative Bias Correction for Nonparametric Approach and the Two Sample Problem in Sample Survey作者机构：Pan African University Institute of Science Technology and Innovation Nairobi Kenya
出 版 物：《Open Journal of Statistics》 (统计学期刊（英文）)
年 卷 期：2017年第7卷第6期
页 面：1053-1066页
学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学]
主 题：Multiplicative Bias Correction Two Sample Problem Bias
摘 要：Let two separate surveys collect related information on a single population U. Consider situation where we want to best combine data from the two surveys to yield a single set of estimates of a population quantity (population parameter) of interest. This Article presents a multiplicative bias reduction estimator for nonparametric regression to two sample problem in sample survey. The approach consists to apply a multiplicative bias correction to an estimator. The multiplicative bias correction method which was proposed, by Linton & Nielsen, 1994, assures a positive estimate and reduces the bias of the estimate with negligible increase in variance. Even as we apply this method to the two sample problem in sample survey, we found out through the study of it asymptotic properties that it was asymptotically unbiased, and statistically consistent. Furthermore an empirical study was carried out to compare the performance of the developed estimator with the existing ones.
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