Estimation of population mean at current occasion in successive sampling under a super-population model

Article type: Research Article

Authors: Singh, G.N.^{; *} | Priyanka, Kumari

Affiliations: Department of Applied Mathematics, Indian School of Mines University, Dhanbad-826 004, India

Correspondence: [*] Corresponding author. Department of Applied Mathematics, Indian School of Mines University, Dhanbad-826 004, India. Tel.: +91 326 2201904; Fax: +91 326 2210028, 2203042; E-mail: gnsingh_ism@yahoo.com.

Abstract: The present work is an attempt to utilize auxiliary information through a super-population linear model as well as in the structure of estimators for estimating the population mean on current occasion in two-occasion successive sampling. Two different estimators are proposed and their theoretical properties are discussed. Results are supported with empirical studies. Suitable recommendations are made.

Keywords: Successive sampling, difference type, super-population, linear model, bias, variance, optimum replacement policy

DOI: 10.3233/MAS-2007-2402

Journal: Model Assisted Statistics and Applications, vol. 2, no. 4, pp. 189-200, 2007