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A Regression Type Estimator with Two Auxiliary Variables for Two-Phase Sampling

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DOI: 10.4236/ojs.2013.32010    4,856 Downloads   8,421 Views   Citations


This paper is an extension of Hanif, Hamad and Shahbaz estimator [1] for two-phase sampling. The aim of this paper is to develop a regression type estimator with two auxiliary variables for two-phase sampling when we don’t have any type of information about auxiliary variables at population level. To avoid multi-collinearity, it is assumed that both auxiliary variables have minimum correlation. Mean square error and bias of proposed estimator in two-phase sampling is derived. Mean square error of proposed estimator shows an improvement over other well known estimators under the same case.

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The authors declare no conflicts of interest.

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N. Hamad, M. Hanif and N. Haider, "A Regression Type Estimator with Two Auxiliary Variables for Two-Phase Sampling," Open Journal of Statistics, Vol. 3 No. 2, 2013, pp. 74-78. doi: 10.4236/ojs.2013.32010.


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