文章基本信息

标题：A Class of Exponential Regression Type Estimators for Population Variance in Two-Phase Sampling
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作者：A. Chatterjee ; G.N. Singh ; A. Bandyopadhyay 等
期刊名称：Journal of Statistical Theory and Applications (JSTA)
电子版ISSN：1538-7887
出版年度：2017
卷号：16
期号：4
页码：567-577
DOI：10.2991/jsta.2017.16.4.10
语种：English
出版社：Atlantis Press
摘要：This article deals with the problems of efficient estimation of population variance in two-phase (double) sampling. Using information on two auxiliary variables, a class of chain exponential to regression type estimators has been proposed and its properties are studied under two different structures of two-phase sampling. Superiority of suggested class of estimators over some existing ones is established through numerical illustrations. Suitable recommendations to the survey statistician are also made.
关键词：Double sampling;study variable;auxiliary variable;chain-type;Exponential;regression