Efficient Class of Estimators of Population Mean under Double Sampling
Keywords:
Bias, efficiency, mean square error, double samplingAbstract
In this article, an efficient class of estimators of population mean is opined under double sampling scheme using auxiliary information which admits various existing estimators like the usual mean estimator, classical ratio estimator, Singh (2011) estimator and Bhushan and Gupta (2019) estimators. The first order approximation expressions of mean square error of the opined estimator are established
and the efficiency conditions are derived. Further, the soundness of the efficiency conditions is studied by an empirical study employing different real populations. The findings of the empirical study show the ascendancy of the opined class of estimators over the estimators existing till date.
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