Optimal experimental design for non-linear models : theory and applications
This book tackles the Optimal Non-Linear Experimental Design problem from an applications perspective. At the same time it offers extensive mathematical background material that avoids technicalities, making it accessible to non-mathematicians: Biologists, Medical Statisticians, Sociologists, Engine...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2013. |
| Collection: | SpringerBriefs in Statistics
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| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Optimal Experimental Design for Non-Linear Models, Texte imprimé, 9783642452864 • Optimal Experimental Design for Non-Linear Models, Texte imprimé, 9783642452888 |
Table des matières:
- 1.Introduction 2. Motivation 3.Locally Optimal Designs 4.Static Design 5.Sequential Designs 6.Approximate Confidence Regions 7.Working with Data: Simulation Studies 8.A Case Study: Optimal Designs in Rythmometry 9.Discussion References A1.Caratheodory s Theorem A2.Silvapulle's Theorem A3.Conditional Inverse A4.Simulation I Results, Tables 7.1 7.5 A5.Simulation II Results, Tables 7.7 7.14