PENAKSIR RASIO UNTUK VARIANSI POPULASI MENGGUNAKAN KUARTIL DARI KARAKTER TAMBAHAN PADA SAMPLING ACAK SEDERHANA
Abstract
This paper discusses three ratio estimators for population variance in simple random
sampling using quartiles of the auxiliary variable given by Subramani and
Kumarapandiyan [International Journal of Statistics and Applications., 2(5): 67-72].
The estimators discussed are the ratio estimator using the first quartile, the third quartile
and the inter-quartile range. These three estimators discussed are biased estimators.
Furthermore, their mean square errors are compared to show which one is the most
efficient estimator. This comparison shows that the ratio estimator using inter-quartile
range is the most efficient estimator.
sampling using quartiles of the auxiliary variable given by Subramani and
Kumarapandiyan [International Journal of Statistics and Applications., 2(5): 67-72].
The estimators discussed are the ratio estimator using the first quartile, the third quartile
and the inter-quartile range. These three estimators discussed are biased estimators.
Furthermore, their mean square errors are compared to show which one is the most
efficient estimator. This comparison shows that the ratio estimator using inter-quartile
range is the most efficient estimator.
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