Functional approach to optimal experimental design
The book presents a novel approach for studying optimal experimental designs. The functional approach consists of representing support points of the designs by Taylor series. It is thoroughly explained for many linear and nonlinear regression models popular in practice including polynomial, trigonom...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2006. |
| Collection: | Lecture Notes in Statistics
184 |
| Sujets: | |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Description d'après consultation du 28 mars 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Functional approach to optimal experimental design, Viatcheslav B. Melas, New York, Springer, 2006, 1 vol. (IX-333 p.), Lecture notes in statistics, 978-0387-98741-5 • MAXDATA, a time series database system, Wilhelm A. Hennerkes, Berlin, Springer, 1990, XIII-150 p., 3-540-52209-3 • Functional approach to optimal experimental design, Viatcheslav B. Melas, New York, Springer, 2006, 1 vol. (IX-333 p.), Lecture notes in statistics, 978-0387-98741-5 |