Some generalized classes of double sampling regression type estimators using auxiliary information

Shashi Bhushan , R. Karan Singh, Arvind Pandey

Science Vision 11 (1), 2-6 | Published on 30 March 2011 |

Abstract

In the present study, a double sampling regression type estimator representing a class of estimators is proposed. The bias and mean square error (MSE) of the proposed estimator is obtained. A more generalized class of double sampling regression type estimator utilizing the auxiliary information available at first phase in the form of mean and variance of the auxiliary variable is also proposed. The bias and MSE of the proposed class were obtained for this class. The concluding remarks show that the proposed classes of estimators are better than that of double sampling estimator based on earlier proposition. An empirical study is included for illustration.

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