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Adaptive design in regression and control
When y = M(x) + ε, where M may be nonlinear, adaptive regression designs of the levels x(1), x(2),... at which y(1), y(2),... are observed lead to asymptotically efficient estimates of the value θ of x for which M(θ) is equal to any desired value y(*). More importantly, these designs also make the “...
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| Publicado no: | Proc Natl Acad Sci U S A |
|---|---|
| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
1978
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC411301/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/16592494/ https://ncbi.nlm.nih.govhttps://doi.org/10.1073/pnas.75.2.586 |
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