PENAKSIR RATIO-CUM-PRODUCT YANG EFISIEN UNTUK RATA-RATA POPULASI PADA SAMPLING ACAK SEDERHANA MENGGUNAKAN KOEFISIEN VARIASI DAN KOEFISIEN KURTOSIS

Abstract

This article reviews three ratio-cum-product estimators for the population mean in simple random sampling. The coefficient of variation and the coefficient of kurtosis of auxiliary variables are used. This article is the review of Tailor’s et. al. Article [Communications of the Korean Statistical Society 18(2):155-164]. The estimators discussed are ratio-cum-product estimator, type 1 and type 2 ratio-cum-product estimators using coefficient of variation and coefficient of kurtosis. These estimators are biased. Then, the mean square errors (MSE) of each estimator are compared to show which one is the most efficient estimator. The type 2 ratio-cum-product estimator using the information on coefficient of variation and coefficient of kurtosis is the most efficient estimator among the other two estimators.