ARTICLE
ABSTRACT
In this paper we have suggested a chain-type estimator of population variance by making use of a known coefficient of kurtosis of second auxiliary variable in two-phase sampling. It is shown that the proposed estimator is better than usual estimators under some realistic conditions.
KEYWORDS
Two-phase sampling, Chain ratio-type estimator, Study variable, Auxiliary variable, Mean square error.
REFERENCES
CHAND L.(1975): Some ratio-type estimators based on two or more auxiliary variables. Unpublished Ph. D. dissertation, Iowa State University, Ames, Iowa.
ISAKI, C.T. (1983): Variance estimation using auxiliary information. Jour. Amer. Statist. Assoc., 78, (381), 117–123.
UPADHYAYA, L.N. and SINGH, H.P. (1999): An estimator for population variance that utilizes the kurtosis of an auxiliary variable in sample surveys. Vikram Mathematical Journal, 19, 14–17.
