Best linear unbiased estimators of population variance in successive sampling

Article type: Research Article

Authors: Singh, G.N.^{; *} | Prasad, S. | Majhi, D.

Affiliations: Department of Applied Mathematics, Indian School of Mines, Dhanbad, India

Correspondence: [*] Corresponding author: G.N. Singh, Department of Applied Mathematics, Indian School of Mines, Dhanbad-826004, India. E-mail: [email protected].

Abstract: In present work, best linear unbiased estimators have been proposed to estimate the population variance on current occasion in two-occasion successive (rotation) sampling. Optimum replacement policies of the proposed estimators are discussed. Results are supported with the suitable empirical studies.

Keywords: Successive sampling, auxiliary information, unbiased, variance, optimum replacement policy

DOI: 10.3233/MAS-2012-0224

Journal: Model Assisted Statistics and Applications, vol. 7, no. 3, pp. 169-178, 2012