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has been cited by the following article:

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

  AUTHORS: Naqvi Hamad, Muhammad Hanif, Najeeb Haider

  KEYWORDS: Mean Square Error; Precision; Two-Phase Sampling; Auxiliary Variable; Regression Type Estimator; Simple Random Sampling without Replacement

  JOURNAL NAME: Open Journal of Statistics, Vol.3 No.2, April 22, 2013

  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.