Open Journal of Statistics
Volume 3, Issue 2 (April 2013)
ISSN Print: 2161-718X ISSN Online: 2161-7198
Google-based Impact Factor: 0.53 Citations
A Regression Type Estimator with Two Auxiliary Variables for Two-Phase Sampling ()
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ABSTRACT
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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