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A Generalized Multivariate Ratio and Regression Type Estimator for Population Mean Using A Linear Combination of Two Auxiliary Variables

Authors:

Sanjay Kumar ,

Department of Statistics, Central University of Rajasthan, Bandarsindri, Kishangarh-305817, Ajmer, Rajasthan, IN
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Priyanka Chhaparwal

Department of Statistics, Central University of Rajasthan, Bandarsindri, Kishangarh-305817, Ajmer, Rajasthan, IN
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Abstract

In this paper, we propose generalized multivariate ratio and regression type estimators of a finite population mean using a linear combination of two auxiliary variables and obtain the expressions for biases and mean square errors for the proposed estimators. The conditions under which the proposed estimators are more efficient then the relevant estimators have been obtained. An empirical study has been done for the support of the problem. 

DOI: http://doi.org/10.4038/sljastats.v17i1.7843
How to Cite: Kumar, S. & Chhaparwal, P., (2016). A Generalized Multivariate Ratio and Regression Type Estimator for Population Mean Using A Linear Combination of Two Auxiliary Variables. Sri Lankan Journal of Applied Statistics. 17(1), pp.19–37. DOI: http://doi.org/10.4038/sljastats.v17i1.7843
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Published on 28 Apr 2016.
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