An improved estimator of finite population mean using auxiliary attribute(s) in stratified random sampling under non-response

In the present study,we propose a new estimator for population mean using singh et al. (2007) and malik and singh (2013) estimators in the case of stratified random sampling when the information is available in form of attributes under non-response. expressions for the mean squared error (mse) of the proposed estimators are derived up to the first degree of approximation. the theoretical conditions have also been verified by a numerical example. it has been shown that the proposed estimators are more efficient than the traditional estimators.