This paper is an extension of Hanif, Hamad and Shahbaz estimator 
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.
Cite this paper
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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