Research Information System
6th International Days of Statistics and Economics, Prague, Czech Republic, 13 - 15 September 2012, pp.605-613
This study proposes a class of variance estimators for estimating population variance of a study variable using information of auxiliary variable under stratified random sampling scheme. The bias and mean square error of the estimators belonging to class are obtained and the optimum parameters of class are given in stratified random sampling. Efficiency comparison is carried out using a real data set. In this data set, sales profit and waste product of a company are used as a study and auxiliary variable respectively. Moreover we have found that suggested class of estimators are more efficient than classical estimators.