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http://dx.doi.org/10.5351/CKSS.2010.17.2.165

Efficient Use of Auxiliary Variables in Estimating Finite Population Variance in Two-Phase Sampling  

Singh, Housila P. (School of Studies in Statistics, Vikram University)
Singh, Sarjinder (Department of Mathematics, Texas A&M University)
Kim, Jong-Min (Statistics Discipline Division of Science and Mathematics, University of Minnesota)
Publication Information
Communications for Statistical Applications and Methods / v.17, no.2, 2010 , pp. 165-181 More about this Journal
Abstract
This paper presents some chain ratio-type estimators for estimating finite population variance using two auxiliary variables in two phase sampling set up. The expressions for biases and mean squared errors of the suggested c1asses of estimators are given. Asymptotic optimum estimators(AOE's) in each class are identified with their approximate mean squared error formulae. The theoretical and empirical properties of the suggested classes of estimators are investigated. In the simulation study, we took a real dataset related to pulmonary disease available on the CD with the book by Rosner, (2005).
Keywords
Finite population variance; auxiliary variables; two phase sampling; bias and mean squared error;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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