Abstract
This paper suggests binary-type exponential estimator for estimating finite population mean under simple random sampling using auxiliary information. The proposed estimator includes number of estimators as its member which has been listed. Mathematical expression for the bias and mean square error of proposed estimator have been derived up to first order approximation. An empirical study was carried out using some existing population data sets and it was found that the proposed estimator performed better than other existing estimators considered in the study including linear regression estimator.
Publisher
Universidad Nacional de Colombia