Efficiency of Ratio and Regression Estimators Using Double Sampling

Abstract

This research work takes into consideration the Double sampling procedure to determine the efficient estimator among the double sampling for ratio and regression and Simple random sampling without replacement (SRSWOR) type estimators. The empirical comparison of the minimum variances, relative efficiency and the coefficient of variations were used in obtaining the most efficient estimator. It was established that, if the regression line does not pass through the origin, then double sampling for linear regression type estimation is efficient over double sampling for ratio and simple random sampling without replacement estimations.

Keywords: Ratio Estimator, Regression Estimator, Double Sampling and Simple Random Sampling Without Replacement