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La régression non-linéaire

Méthodes et applications en biologie

by Sylvie Huet (writer), Emmanuel Jolivet (writer), Antoine Messéan (writer)
Collection: Mieux comprendre
may 2006
eBook [ePub]
160 x 240 format Download after purchase
17,99 €
eBook [PDF]
160 x 240 format 254 pages Download after purchase
17,99 €

The methodology of the statistical method of nonlinear regression model is presented and illustrated by some examples from various fields of biology or agronomy. Readership: statisticians, skilled statistics users, graduate or post graduate students.

Avant-propos
Table des Matières
Liste des notations
1 Les modèles de régression non-linéaire
1.1 Les modèles statistiques de régression
1.2 Modélisation de l'espérance
1.3 Modélisation de l'erreur
1.4 Conclusion
2 Estimation
2.1 Un exemple simple
2.2 Choix des estimateurs
2.3 Propriétés à distance finie
2.4 Résolution numérique du problème d'estimation
2.5 Exemples d'application
3 Validation du modèle, tests d'hypothèses
3.1 Quelques méthodes graphiques simples de diagnostics
3.2 Tests d'hypothèses
4 Intervalles de confiance
4.1 Résultats asymptotiques classiques
4.2 Régions de confiance pour une fonction des paramètres
4.3 Autres méthodes de calcul d'intervalles de confiance
Index
Bibliographie

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Language(s): French

Publisher: Inra

Edition: 1st edition

Collection: Mieux comprendre

Published: 31 may 2006

Reference eBook [ePub]: 01182EPB

Reference eBook [PDF]: 01182NUM

EAN13 eBook [ePub]: 9782759214907

EAN13 eBook [PDF]: 9782759202003

Interior: Two-colour

Pages count eBook [PDF]: 254

Size: 13 Mo (ePub), 9,4 Mo (PDF)

Onix format

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