An Optimal Procedure for Sample Coordination Using Multiple Objective Functions and Nearest Proportional to IPPS Size Sampling Designs |
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Authors: | Neeraj Tiwari U C Sud |
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Institution: | 1. Department of Statistics , Kumaun University , Almora , India kumarn_amo@yahoo.com;3. IASRI , New Delhi , India |
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Abstract: | The sample coordination problem involves maximization or minimization of overlap of sampling units in different/repeated surveys. Several optimal techniques using transportation theory, controlled rounding, and controlled selection have been suggested in literature to solve the sample coordination problem. In this article, using the multiple objective programming, we propose a method for sample coordination which facilitates variance estimation using the Horvitz–Thompson estimator. The proposed procedure can be applied to any two-sample surveys having identical universe and stratification. Some examples are discussed to demonstrate the utility of the proposed procedure. |
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Keywords: | Controlled selection Horvitz–Thompson estimator Multiple objective function Sample coordination Variance estimation |
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