PENAKSIR RASIO YANG EFISIEN UNTUK RATA-RATA POPULASI MENGGUNAKAN KOEFISIEN REGRESI ROBUST PADA SAMPING ACAK SEDERHANA

Abstract

The ratio estimators proposed by Kadilar, Candan and Cingi [4] for the population mean in simple random sampling using robust regression has been reviewed. This robust regression is defined by Huber M-estimators. These estimators are biased so that the Mean Square Error is calculated for each estimators to obtain which one is more efficient. This comparison shows that the ratio estimator involving of coefficient curtosis the more efficient then others