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Multivariate stratified sampling by stochastic multiobjective optimisation

This work considers the allocation problem for multivariate stratified random sampling as a problem of integer non-linear stochastic multiobjective mathematical programming. With this goal in mind the asymptotic distribution of the vector of sample variances is studied. Two alternative approaches are suggested for solving the allocation problem for multivariate stratified random sampling. An example is presented by applying the different proposed techniques.

preprint2011arXivOpen access
Jose A. Diaz-GarciaRogelio Ramos-Quiroga
Methodology
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Open access2 authors1 topic
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Jose A. Diaz-GarciaRogelio Ramos-Quiroga

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