An Efficient Regression Type Estimator in Survey Sampling

Abstract For the estimation of population mean in simple random sampling, an efficient regression‐type estimator is proposed which is more efficient than the conventional regression estimator and hence than mean per unit estimator, ratio and product estimators and many other estimators proposed by various authors. Some numerical examples are included for illustration.