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Multivariate Multi-Objective Allocation in Stratified Random Sampling: A Game Theoretic Approach
| Content Provider | Semantic Scholar |
|---|---|
| Author | Muhammad, Yousaf Shad Hussain, Ijaz Shoukry, Alaa Mohamd |
| Copyright Year | 2016 |
| 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. |
| File Format | PDF HTM / HTML |
| DOI | 10.1371/journal.pone.0167705 |
| PubMed reference number | 27936039 |
| Journal | Medline |
| Volume Number | 11 |
| Alternate Webpage(s) | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0167705&type=printable |
| Alternate Webpage(s) | https://doi.org/10.1371/journal.pone.0167705 |
| Journal | PloS one |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |