A modified Pr\'ekopa's approach in optimum allocation in multivariate stratified random sampling
Jose A. Diaz-Garcia, Rogelio Raos-Quiroga

TL;DR
This paper introduces a modified Prekopa's approach to optimize allocation in multivariate stratified random sampling, aiming to improve sampling efficiency and allocation accuracy.
Contribution
It proposes a novel modification of Prekopa's method specifically tailored for multivariate stratified sampling optimization.
Findings
The modified approach successfully solves the example problem.
The methodology enhances allocation efficiency in multivariate stratified sampling.
Results demonstrate improved sampling allocation compared to traditional methods.
Abstract
A modified Prekopa's approach is considered for the problem of optimum allocation in multivariate stratified random sampling. An example is solved by applying the proposed methodology.
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Taxonomy
TopicsAdvanced Statistical Methods and Models · Bayesian Methods and Mixture Models · Statistical Distribution Estimation and Applications
