University of Bahrain
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Using Rank of the Auxiliary Variable in Estimating Variance of the Stratified Sample Mean

Show simple item record Shabbir, Javid Gupta, Sat 2019-10-29T10:11:14Z 2019-10-29T10:11:14Z 2019-11-01
dc.description.abstract We propose a generalized class of estimators for finite population variance using the auxiliary variable as well as rank of the auxiliary variable in stratified sampling. We identify many estimators as special cases of the proposed generalized class of estimators. We discuss the properties of all considered estimators up to first order of approximation. A real data set is used to observe the performances of estimators. It is observed that the proposed generalized class of estimators is more efficient than usual sample variance estimator, traditional ratio estimator, Bahl and Tuteja (1991) exponential ratio type estimator, usual difference estimator and Rao (1991) difference-type estimator. en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject Stratified sampling en_US
dc.subject Auxiliary variable en_US
dc.subject Ranking en_US
dc.subject Bias en_US
dc.subject Mean squared error (MSE) en_US
dc.subject Efficiency en_US
dc.title Using Rank of the Auxiliary Variable in Estimating Variance of the Stratified Sample Mean en_US
dc.volume Volume 6 en_US
dc.issue Issue 2 en_US
dc.contributor.authorcountry Pakistan en_US
dc.contributor.authorcountry USA en_US
dc.contributor.authoraffiliation Department of Statistics, Quaid-i-Azam University, Islamabad, 45320, Pakistan. en_US
dc.contributor.authoraffiliation Department of Mathematics and Statistics, The University of North Carolina at Greensboro, NC 27412, USA. en_US
dc.source.title International Journal of Computational and Theoretical Statistics en_US

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