Zahoor, A., Muhhamad, H. and Munir, A. (2009) Generalized Regression-Cum-Ratio Estimators for Two Phase Sampling Using Multiple Auxiliary Variables. Pakistan Journal of Statistics, 25, 93-106.

has been cited by the following article:

• TITLE: A New Regression Type Estimator with Two Auxiliary Variables for Single-Phase Sampling

  AUTHORS: Everline Chemutai Tum, John Kung’u, Leo Odongo

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

  JOURNAL NAME: Open Journal of Statistics, Vol.4 No.9, October 29, 2014

  ABSTRACT: 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.