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A new approach to use multivariate auxiliary information in sample surveys

✍ Scribed by S.K. Agarwal; U.K. Sharma; Sharmishtha Kashyap

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
285 KB
Volume
60
Category
Article
ISSN
0378-3758

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✦ Synopsis

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), 270277) multivariate difference estimator is illustrated. Using the information on two auxiliary variates, the robustness of Des Rafs estimator Yd is studied empirically. Two new estimators to estimate population mean/total are developed on the same lines as that of Ya. The performance of these estimators is studied for a wide variety of populations.

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