Penaksir Rasio Regresi yang Efisien untuk Rata-rata Populasi pada Sampling Acak Sederhana Menggunakan Dua Karakter Tambahan

Three regression ratio estimators are used to estimate the population mean Y under simple random sampling. Using two auxiliary variables X and Z, it should be conditioned that there is high correlation between Y and X, Y and Z, whereas there mayor may not be any correlation between X dan Z. These estimators are recommended by Singh, Upadhyaya and Premchandra [5] which is a review of the article “An Improved Version of Regression Ratio Estimator with Two Auxiliary Variables in Sample Surveys.” All estimators are biased. The efficient estimator is one with the least Mean Square Error (MSE), determined by comparing each type of estimator

Penaksir untuk Rasio Populasi dengan Menggunakan Koefisien Regresi dan Dual pada Variabel Tambahan

In this article we discuss three estimators for population ratio using the coefficien regression and dual, which is a review from the article of Onyeka et.al [GlobalJournal of Science Frontier Research, 13(2013):57-65]. The three estimators are biased estimators and their mean square errorsare determined. Furthermore, this mean square errorsare compared to mean square error of each estimator.This comparison shows that thetype-product estimator is more efficient than another estimators

Penaksir Rasio dan Penaksir Regresi yang Efisien untuk Rata-rata Populasi pada Sampling Acak Sederhana Menggunakan Deviasi Kuartil dan Koefisien Skewness

In this article the combination of ratio estimators and ratio-regression in simple random sampling using quartile deviation and coefficient of skewness are discussed, which is a review from the article Jeelani et.al. [International Journal of Modern Mathematical Sciences, 6(3): 174-183]. These estimators are biased estimators and their mean square errors are determined. Estimator with the smallest mean square error is the most efficient estimator. A numerical example is given at the end of discussion

Penaksir Dual Rasio-cum-produk untuk Rata-rata Populasi dengan Menggunakan Koefisien Korelasi

This article discusses three ratio-cum-product estimators for the population mean usingthe coefficient of correlation on simple random sampling i.e. ratio-cum-productestimator, dual ratio-cum-product estimator, and combination dual ratio-cum-productestimator. The three estimators are biased estimators. Then the mean square errors aredetermined. Furthermore, these mean square errors are compared to the mean squareerror of each estimator. This comparison shows that the combination dual ratio-cum-product estimator using coefficient of correlation is more efficient than other estimators