PENAKSIR RASIO UNTUK RATA-RATA POPULASI PADA SAMPLING ACAK SEDERHANA MENGGUNAKAN KOEFISIEN VARIASI DAN MEDIAN
Abstract
This paper discusses three ratio estimators for the population mean in simple random
sampling using coefficient of variation and median of an auxiliary variable, which is a
review from the article of Subramani and Kumarapandiyan. All estimators are biased,
then their mean square errors (MSE) are determined. Furthermore, the mean square
errors are compared to show which estimator is the most efficient estimator. This paper
reveals that the estimator using coefficient of variation and the median has the smallest
mean square error (MSE).
sampling using coefficient of variation and median of an auxiliary variable, which is a
review from the article of Subramani and Kumarapandiyan. All estimators are biased,
then their mean square errors (MSE) are determined. Furthermore, the mean square
errors are compared to show which estimator is the most efficient estimator. This paper
reveals that the estimator using coefficient of variation and the median has the smallest
mean square error (MSE).
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