期刊名称：Electronic Journal of Applied Statistical Analysis
电子版ISSN：2070-5948
出版年度：2018
卷号：11
期号：2
页码：608-621
DOI：10.1285/i20705948v11n2p608
语种：English
出版社：University of Salento
其他摘要：In this article we proposed a new class of estimators for estimating the finite population variance using available auxiliary attribute in absence and presence of non-response problem. Properties such as bias and mean square error of the proposed class are derived up to the first order of approximation. The proposed class is more efficient than the Singh et al. (1988), Shabbir and Gupta (2007), Singh and Solanki (2013a), usual sample variance and regression estimators.
关键词：mean square error; non-response; attribute; simple random sampling
