期刊名称：Electronic Journal of Applied Statistical Analysis
电子版ISSN：2070-5948
出版年度：2019
卷号：12
期号：1
页码：44-54
DOI：10.1285/i20705948v12n1p369
出版社：University of Salento
摘要：This paper considers a class of generalized estimators for estimating the
unknown population variance using two auxiliary variables when the mean
of one auxiliary variable may not be available. The expressions for bias
and mean square error of the proposed estimators are obtained up to the
first order of approximation. Conditions for which the proposed generalized
estimator is more efficient than the existing estimators have been derived.
Both empirical and simulation studies have also been carried out to analyze
the efficiency of the proposed estimators with some existing estimators.
其他摘要：This paper considers a class of generalized estimators for estimating the unknown population variance using two auxiliary variables when mean of one auxiliary variable may not be available. The expressions for bias and mean square error of the proposed estimators are obtained up to the first order of approximation. Conditions for which the proposed generalized estimator is more efficient than the existing estimators have been derived. Both empirical and simulation studies have also been carried out to analyze the efficiency of the proposed estimators with some existing estimators.
