Estimation of Population Variance Using Auxiliary Information
Abstract
A generalized estimator representing a class of estimators using auxiliary information in the
form of mean and variance is proposed. The expression for bias and mean square error are found
and it is shown that the proposed generalized class of estimator is more efficient than few of the
estimators available in the literature. An empirical study is also included as an illustration.
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