Using predictive estimation procedure, an attempt has been made to develop some generalisedfamily of estimators for the finite population mean ¯J of survey variable J in the presence of known auxiliaryvariable K. The proposed class consists of mainly two different types of estimators namely, Ratio andExponential ratio-product type estimator. Theoretical conditions under which the proposed classes areless biased and more efficient then usual unbiased, ratio estimator and estimator due to [2], [12] and [13]have been obtained . It is also evaluated that at optimum values of unknown scalars the mean square error(MSE) of suggested classes tends to the MSE of regression estimator. Finally, these theoretical findings areillustrated by a numerical example
Auxiliary variable asymptotic bias asymptotic variance prediction approach
Diğer ID | JA24PE34EK |
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Bölüm | Araştırma Makalesi |
Yazarlar | |
Yayımlanma Tarihi | 1 Haziran 2014 |
Yayımlandığı Sayı | Yıl 2014 Cilt: 7 Sayı: 2 |