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 y d is studied empirically. Two new estimators to estimate population mean/total are developed on the same lines as that of y d. The performance of these estimators is studied for a wide variety of populations.
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