Almost unbiased estimation procedures of population mean in two-occasion successive sampling

Authors : G. N. SİNGH, A. K. SİNGH, Cem KADILAR

Pages : 1268-1280

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Publication Date : 2018-10-16

Article Type : Research Paper

Abstract :The objective of this paper is to construct some unbiased estimators  of the current population mean in two-occasion successive sampling. Utilizing the readily available information on an auxiliary variable on  both occasions, almost unbiased ratio and regression cum exponential type estimators of current population mean have been proposed. The oretical properties of the proposed estimation procedures have been examined and their respective optimum replacement strategies are for mulated. Performances of the proposed estimators are empirically com pared with insert ignore into journalissuearticles values(i); the sample mean estimator, when no sample units were  matched from the previous occasion and insert ignore into journalissuearticles values(ii); natural successive sampling estimator when no auxiliary information was used on any occasion. Em pirical results are critically interpreted and suitable recommendations are made to the survey practitioners for their practical applications.
Keywords : Successive sampling, Auxiliary information, Bias, Optimum replacement strategy, Mean square error, Optimum replacement strategy