期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2015
卷号：14
期号：1
页码：12
出版社：Wayne State University
摘要：The problem of estimating the finite population mean of in simple random sampling in the presence of non-response and response error was considered. The estimators use auxiliary information to improve efficiency, assuming non–response and measurement error are present in both the study and auxiliary variables. A class of estimators was proposed and its properties studied in the simultaneous presence of non-response and response errors. It was shown that the proposed class of estimators is more efficient than the usual unbiased estimator, ratio and product estimators under non-response and response error together. A numerical study was carried out to compare its performance.
关键词：Population mean; Study variable; Auxiliary variable; Mean squared error; Measurement errors; Non-response.
