Title of article :
Generalized Exponential Estimators for Population Variance Under Two-Phase Sampling
Author/Authors :
sanaullah, aamir comsats institute of it - department of statistics, Pakistan , hanif, muhammad national college of business administration and economics (ncba e) - department of statistics, Pakistan , asghar, amber virtual university of pakistan lahore - department of statistics, Pakistan
From page :
75
To page :
84
Abstract :
In this study, two-phase sampling is considered for estimating the population variance of study variable taking two auxiliary variables. The proposed generalized estimator and class of estimators are the exponential function of auxiliary variables. The mean square errors and biases equations have been obtained for the proposed estimators. The conditions for which proposed estimators are more efficient as compared to other estimators have been discussed. The empirical study showed that proposed estimators are more efficient as compared to the unbiased sample variance estimator, double sampling version of Isaki (J Am Stat Assoc 78:117–123, 1983) and Singh et al. (Ital. J. Pure Appl. Math. 28(N):101–108, 2011) generalized estimator.
Keywords :
Population variance , Generalized exponential estimator , Two , phase sampling , Auxiliary information
Journal title :
International Journal Of Applied an‎d Computational Mathematics
Journal title :
International Journal Of Applied an‎d Computational Mathematics
Record number :
2603339
Link To Document :
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