Exponential ratio and product type estimators of finite population mean. Issue 1 (2nd January 2016)

• Record Type: Journal Article
• Authors: Yasmeen, Uzma; Noor ul Amin, Muhammad; Hanif, Muhammad
• Is Part Of: Journal of statistics & management systems. Volume 19:Issue 1(2016)
• Page Start: 55
• Page End: 71
• Publication Date: 2016-01-02
• Subjects: Transformed auxiliary variables -- Exponential estimator -- Study variable; Statistics -- Periodicals; Mathematical models -- Periodicals; Mathematical models; Statistics; Periodicals; 519.5
• DOI: 10.1080/09720510.2015.1040249
• Languages: English
• ISSNs: 0972-0510

Abstract

Abstract: The improved exponential type estimators for finite population mean are proposed. The proposed estimators are based on the information from two transformed auxiliary variables using simple random sampling without replacement. The expression for the mean square error and bias of the proposed estimators has been derived, and the conditions have been obtained under which these estimators are more efficient than the existing estimators. Empirical study has also been conducted to show the improvement in efficiency of the proposed estimators.