a Department of Statistics and O.R., Kuwait University, Faculty of Science, P.O. Box 5969, Safat 13060, Kuwait
b Department of Mathematics and Statistics, University of Jodhpur, Jodhpur 342001, India
Abstract:
A new approach to form multivariate difference estimator is suggested which does not require the knowledge of unknown population parameters as such. It gives minimum variance among the class of multivariate difference estimators. The performance of this estimator with respect to Des Raj's (J. Amer. Statist. Assoc.60 (1965), 270–277) multivariate difference estimator is illustrated. Using the information on two auxiliary variates, the robustness of Des Raj's estimator yd is studied empirically. Two new estimators to estimate population mean/total are developed on the same lines as that of yd. The performance of these estimators is studied for a wide variety of populations.