Estimation of finite population mean using two auxiliary variables in sample surveys

R Tailor, R Tailor - Model Assisted Statistics and Applications, 2008 - content.iospress.com
R Tailor, R Tailor
Model Assisted Statistics and Applications, 2008content.iospress.com
This paper proposes two ratio-cum-product estimators of a finite population mean using
coefficient of variation of auxiliary variates and correlation coefficient between auxiliary
variates. The bias and mean squared error of the proposed estimators are obtained under
large sample approximation. Two almost unbiased ratio-cum-product estimators have also
been obtained by using Jackknife technique given by Quenouille [3]. Proposed estimators
have been compared with simple mean estimator, usual ratio estimator, product estimator …
Abstract
This paper proposes two ratio-cum-product estimators of a finite population mean using coefficient of variation of auxiliary variates and correlation coefficient between auxiliary variates. The bias and mean squared error of the proposed estimators are obtained under large sample approximation. Two almost unbiased ratio-cum-product estimators have also been obtained by using Jackknife technique given by Quenouille [3]. Proposed estimators have been compared with simple mean estimator, usual ratio estimator, product estimator, estimators proposed by Singh [2] and Singh and Tailor [6]. An empirical study is carried out to examine the performance of the proposed estimators.
content.iospress.com
Showing the best result for this search. See all results