Estimation of finite population variance in successive sampling using multi-auxiliary variables. Issue 3 (1st February 2016)

• Record Type: Journal Article
• Authors: Ahmad, Zahoor; Hussain, Ijaz; Hanif, Muhammad
• Is Part Of: Communications in statistics. Volume 45:Issue 3(2016)
• Page Start: 553
• Page End: 565
• Publication Date: 2016-02-01
• Subjects: Bias and mean square error -- General class of estimators -- Multi-auxiliary variables -- Successive sampling; Primary 62D -- Secondary 62D05.; Mathematical statistics -- Periodicals; Mathematics; Statistics; 519.2
• DOI: 10.1080/03610926.2013.833236
• Languages: English
• ISSNs: 0361-0926

Abstract

ABSTRACT: In this paper, a general class of estimators for estimating the finite population variance in successive sampling on two occasions using multi-auxiliary variables has been proposed. The expression of variance has also been derived. Further, it has been shown that the proposed general class of estimators is more efficient than the usual variance estimator and the class of variance estimators proposed by Singh et al. (2011) when we used more than one auxiliary variable. In addition, we support this with the aid of numerical illustration.