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In this paper, we have suggested a class of ratio type estimators with a linear combination using two auxiliary variables with some known population mean of the study variable. The bias and the mean square error of the proposed estimators are derived. We identified sub-members of the class of ratio type estimators. The condition for which the the proposed the proposed estimators perform better than the sample mean per unit, Olkin (1958) multivariate ratio, classical linear regression estimator, Singh(1965), Mohanty (1967) and Swain (2012) are derived. From the analysis, it is observed that the proposed estimators perform better than the sample mean per unit and other existing ratio type estimators considered in this study.


Bias Mean Square error Two auxiliary variables Ratio estimator

Article Details

Author Biographies

Toluwalase Janet Akingbade, University of Nigeria, Nsukka, Nigeria.

Department of Statistics, University of Nsukka, Nigeria

Research Student 

Fabian C. Okafor, University of Nigeria, Nsukka, Nigeria

Department of Statistics

Rank- Professor

How to Cite
Akingbade, T. J., & Okafor, F. C. (2019). A Class of Ratio-Type Estimator Using Two Auxiliary Variables for Estimating The Population Mean With Some Known Population Parameters. Pakistan Journal of Statistics and Operation Research, 15(2), 329-340.