文章基本信息

标题：Mean Estimation under Imputation based on Two-Phase Sampling Design using an Auxiliary Variable
本地全文：下载
作者：Ranjita Pandey ; Kalpana Yadav
期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2016
卷号：12
期号：4
页码：639-658
DOI：10.18187/pjsor.v12i4.1399
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：The present article offers more efficient imputation based estimators of the population mean under the framework of two-phase sampling in presence of an auxiliary variable. The theoretical conditions stating superiority of the proposed estimators, over some prevalent existing competitive estimators, in terms of relative efficiency is established by numerical illustrations based on three different data sets from the classical statistical literature.
其他摘要：The present article offers more efficient imputation based estimators of the population mean under the framework of two-phase sampling in presence of an auxiliary variable. The theoretical conditions stating superiority of the proposed estimators, over some prevalent existing competitive estimators, in terms of relative efficiency is established by numerical illustrations based on three different data sets from the classical statistical literature.
关键词：Bias; Mean squared error; Two-phase sampling scheme; Relative efficiency