Title of article :
An Alternative Class of Estimators in Double Sampling
Author/Authors :
Senapati, S.C. Ravenshaw College - Department of Statistics, India , Sahoo, L.N. Utkal University - Department of Statistics, India
Abstract :
Using double sampling procedure, this paper presents a general class of estimators for the finite population mean when the population mean of the main auxiliary variable x is unknown but that of an additional auxiliary variable z is known. The proposed class of estimators is superior to some of the previously studied classes under minimum variance criterion.
Keywords :
Auxiliary variable , bias , double sampling , minimum variance bound , variance.
Journal title :
Bulletin of the Malaysian Mathematical Sciences Society
Journal title :
Bulletin of the Malaysian Mathematical Sciences Society
