Multivariate Multi-Objective Allocation in Stratified Random Sampling: A Game Theoretic Approach

Yousaf Shad Muhammad, Ijaz Hussain and Alaa Mohamd Shoukry

PLOS ONE, 2016, vol. 11, issue 12, 1-11

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.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0167705

DOI: 10.1371/journal.pone.0167705

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