Estimation of population mean at current occasion in presence of several varying auxiliary variates in two-occasion successive sampling

G. N. Singh; Kumari Priyanka

G. N. Singh Department of Applied Mathematics, Indian School of Mines, Dhanbad-826 004, India , Kumari Priyanka Department of Applied Mathematics, Indian School of Mines, Dhanbad-826 004, India Statistics in Transition new series, vol. 11, 2010, 1, pages: 105-126 Published online: 1 July 2010

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ABSTRACT

The present work intended to emphasize the role of several varying auxiliary variates at both the occasions to improve the precision of estimates at current occasion in two-occasion successive sampling. Two different efficient estimators are proposed and their theoretical properties are examined. Relative comparison of efficiencies of the proposed estimators with the sample mean estimator when there is no matching from previous occasion, and the optimum successive sampling estimator when no auxiliary information is used have been incorporated. Empirical studies are significantly justifying the composition of proposed estimators.

KEYWORDS

Successive sampling, varying auxiliary variates, optimum replacement policy, bias, mean square error.

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