Abstract
We propose a sequential approach for constructing multiple-objective locally optimal designs for nonlinear models. The technique used here is a general one and we demonstrate the added benefits of using a multiple- objective design over a single-objective design with examples from biomedical studies.
Original language | English |
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Pages (from-to) | 1388-1397 |
Number of pages | 10 |
Journal | Biometrics |
Volume | 54 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1998 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Biochemistry, Genetics and Molecular Biology(all)
- Immunology and Microbiology(all)
- Agricultural and Biological Sciences(all)
- Applied Mathematics