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Efficient Use of Auxiliary Variables in Estimating Finite Population Variance in Two-Phase Sampling
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 Title & Authors
Efficient Use of Auxiliary Variables in Estimating Finite Population Variance in Two-Phase Sampling
Singh, Housila P.; Singh, Sarjinder; Kim, Jong-Min;
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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).
Finite population variance;auxiliary variables;two phase sampling;bias and mean squared error;
 Cited by
A new procedure for variance estimation in simple random sampling using auxiliary information, Statistical Papers, 2013, 54, 2, 479  crossref(new windwow)
A Study on the Chain Ratio-Type Estimator of Finite Population Variance, Journal of Probability and Statistics, 2014, 2014, 1  crossref(new windwow)
The generalized family of estimators of population mean using auxiliary information in double sampling, Communications in Statistics - Theory and Methods, 2016, 45, 14, 4086  crossref(new windwow)
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