Multivariate Multi-Objective Allocation in Stratified Random Sampling: A Game Theoretic Approach.
Where this comes from
- Record sourced from PubMed, PMID 27936039.
- Also identified by DOI 10.1371/journal.pone.0167705 and PMC identifier 5147966.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
We consider the problem of multivariate multi-objective allocation where no or limited information is available within the stratum variance. Results show that a game theoretic approach (based on weighted goal programming) can be applied to sample size allocation problems. We use simulation technique to determine payoff matrix and to solve a minimax game.
Medical subject headings
- Game Theory