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Vol. 11, Special Issue 4 (2022)

A composite class of estimators for a finite population mean using two auxiliary variables in two-phase sampling

Author(s):
Sarvesh Kumar Dubey, Manish Kumar, VN Rai and Ashish Tiwari
Abstract:
A composite class of estimators has been formulated in this paper for estimating the mean of a finite population using two auxiliary variables under two-phase sampling design. The mean square errors (MSEs) of the proposed class and the other well-known pre-existing estimators have been computed to the first order of approximation. The precision of the proposed class of estimators has been compared with various pre-existing estimators. The theoretical results have been accompanied with an empirical analysis using real population datasets, and the percent relative efficiencies (PREs) have been computed for the various suggested estimators.
Pages: 44-49  |  531 Views  175 Downloads
How to cite this article:
Sarvesh Kumar Dubey, Manish Kumar, VN Rai and Ashish Tiwari. A composite class of estimators for a finite population mean using two auxiliary variables in two-phase sampling. The Pharma Innovation Journal. 2022; 11(4S): 44-49.

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