PENAKSIR DUAL RASIO-CUM-PRODUK UNTUK RATA-RATA POPULASI DENGAN MENGGUNAKAN KOEFISIEN KORELASI

Ronni Vel Ilham, Rustam Efendi, Haposan Sirait

Abstract


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

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