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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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摘要

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:本文提供了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的尝试。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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