A class of regression type estimators in survey sampling

Subhash K. Yadav, Alok K. Shukla and Govind Ch. Misra

Statistics in Transition new series, 2011, vol. 12, issue 3, 579-586

Abstract: A class of linear regression models has been proposed for the estimation of population mean and total when information regarding auxiliary variate is available in survey sampling using regression method of estimation by introducing a new auxiliary variable z, which may also be a function of the auxiliary variable x. The proposed model leads to reduction in mean squared error as compared to ordinary regression method of estimation. The improvement has been demonstrated over ordinary regression estimator and also on ratio estimator with the help of an empirical example.

Keywords: Auxiliary variable; Mean Squared Error; Ratio estimator; Regression type estimators (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:csb:stintr:v:12:y:2011:i:3:p:579-586

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