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Geometric programming approach in multivariate stratified sample surveys in case of non-response

机译:在无响应的情况下进行多元分层抽样调查的几何规划方法

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This paper provides an attempt to utilize the geometric programming approach in multivariate stratified sample surveys in case of non-response. The problem has been solved in two phases. In first phase the multivariate stratified sample surveys in case of non-response has been formulated as geometric programming problem ( GPP ) and the solution is obtained. The obtained solution is the dual solution of the formulated GPP. In second phase with the help of dual solutions of formulated GPP and primal-dual relationship theorem the optimum allocation of sample sizes of respondents and non respondents are obtained. A numerical example is given to illustrate the procedure.
机译:本文尝试在无响应的情况下,在多元分层样本调查中利用几何规划方法。该问题已分两个阶段解决。在第一阶段,将无响应情况下的多元分层样本调查表述为几何规划问题(GPP),并获得了解决方案。所获得的解决方案是制定的GPP的双重解决方案。在第二阶段,借助制定的GPP的双重解决方案和原始对偶关系定理,获得了受访者和非受访者的样本量的最佳分配。数值示例说明了该过程。

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