Particle swarm based algorithms for finding locally and Bayesian D-optimal designs
Abstract When a model-based approach is appropriate, an optimal design can guide how to collect data judiciously for making reliable inference at minimal cost. However, finding optimal designs for a statistical model with several possibly interacting factors can be both theoretically and computation...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2019-04-01
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| Series: | Journal of Statistical Distributions and Applications |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s40488-019-0092-4 |