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On the Use of Two Auxiliary Variables to Improve the Precision of Estimate in Two-Occasion Successive Sampling

A. Bandyopadhyay, G. N. Singh


The present work is an attempt to make use of two auxiliary variables at both the occasions for improving the precision of estimates at current occasion in two occasion successive sampling. Chain-type ratio, exponential and regression estimators have been proposed to estimate the population mean at the current occasion. Properties of the proposed estimators have been studied and their respective optimum replacement policies are discussed. The proposed estimators have been compared with sample mean estimator when there is no matching and the natural optimum estimator which is a linear combination of the means of the matched and unmatched portions of the sample on the current occasion. Results are demonstrated through empirical means of comparison which are followed by suitable recommendations.


Successive sampling, auxiliary variables, chain-type, ratio, exponential, regression, bias, mean square error, variance, optimum replacement policy.

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