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A Separable Programming Approach To Optimum Allocation In Multivariate Response Errors

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Abstract (Original Language): 
One of the areas of statistics that is most commonly used in all fields of scientific investigation is that of probabilistic sampling. Obtaining good results in agricultural, biological and social research depends on successful, well-implemented adequate sampling plans. In this paper, we examine the problem of optimum allocation when dealing with response errors. The problem is formulated as a non linear programming problem with linear constraints and when non linearity occurs in the objective function. A solution procedure is developed using separable programming technique.
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