An efficient class of estimators of population mean in two-phase sampling using two auxiliary variables

This study is devoted to obtaining an efficient estimator for population mean in two-phase sampling using two auxiliary variables following vishwakarma and kumar (2014). expression for bias and mean squared error (mse) are obtained to the first order of approximation. the new proposed estimator is compared with some competitor estimators both theoretically and numerically using eight different data sets. it has been shown that the new proposed estimator gives more efficient results as compared to its competitor estimators.