Author(s)

Everline Chemutai Tum, John Kung’u, Leo Odongo

Department of Statistics and Actuarial Science, Kenyatta University, Nairobi, Kenya.

In this paper, we have proposed an estimator of finite population mean using a new regression type estimator with two auxiliary variables for single-phase sampling and investigated its finite sample properties. An empirical study has been carried out to compare the performance of the proposed estimator with the existing estimators that utilize auxiliary variables for finite population mean. It has been found that the new regression type estimator with two auxiliary variables for to be more efficient than mean per unit, ratio and product estimator and exponential ratio and exponential product estimators and exponential ratio-product estimator.

Regression Estimator, Exponential Ratio-Product Estimator, Auxiliary Variables, Mean Squared Error

Tum, E. , Kung’u, J. and Odongo, L. (2014) A New Regression Type Estimator with Two Auxiliary Variables for Single-Phase Sampling. Open Journal of Statistics, 4, 789-796. doi: 10.4236/ojs.2014.49074.