PENAKSIR REGRESI CUM RASIO UNTUK RATA-RATA POPULASI DENGAN MENGGUNAKAN KOEFISIEN KURTOSIS DAN KOEFISIEN SKEWNESS

Abstract

This paper discusses the estimators of regression cum-ratio proposed by Yan and Tian for the population mean. These three estimators use the auxiliary variables of the coefficients of curtosis and skewness in simple random sampling. All estimators are biased estimators. The most efficient estimator is the estimator that has the smallest mean square error (MSE) obtained by comparing their MSEs. An example is given at the end of discusssion.