On two different classes of estimators in two-phase sampling using multi-auxiliary variables

Article type: Research Article

Authors: Sahoo, L.N.^{a; *} | Mishra, G.^a | Nayak, S.R.^b

Affiliations: [a] Department of Statistics, Utkal University, Bhubaneswar 751004, India | [b] Department of Statistics, Dhenkanal College, Dhekanal, India

Correspondence: [*] Corresponding author. E-mail: lnsahoostatuu@rediffmail.com.

Abstract: This paper looks at the estimation of a finite population mean when emphasis is laid on the use of information on p auxiliary variables under a two-phase sampling set-up. On adopting two different estimation techniques, attention has been given on the construction of two different classes of estimators viz., a class of chain-type estimators and a class of predictive-type estimators, and their precision has been studied.

Keywords: Auxiliary variable, chain estimator, minimum mean square error bound, predictive estimator, two-phase sampling

DOI: 10.3233/MAS-2010-0143

Journal: Model Assisted Statistics and Applications, vol. 5, no. 1, pp. 61-68, 2010