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Generalized regression-cum-ratio estimators for two-phase sampling using multi-auxiliary variables.

Author(s)
Zahoor Ahmad University of Gujrat, Gujrat, Pakistan
Muhammad Hanif Lahore University of Management Sciences, Lahore, Pakistan
Munir Ahmad National College of Business Administration & Economics, Lahore, Pakistan
Abstract
In this paper we suggest three classes of regression-cum-ratio estimators for estimating population mean of variable of interest for two-phase sampling using multi-auxiliary variables for full information, partial information and no information cases. The expressions for mean square errors are derived. Theoretical comparison is given. Special cases of estimators are also indentified.
Publication Details
Page(s) 93-106
DOI DOI not available
Published Journal: Pakistan Journal of Statistics, Volume: 25, Issue: 2, Year: 2009

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