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2011-09-13
Theory of p-adic Distributions: Linear and Nonlinear Models - de S. Albeverio (Author)
Details Theory of p-adic Distributions: Linear and Nonlinear Models
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Le Titre Du Fichier | Theory of p-adic Distributions: Linear and Nonlinear Models |
Publié Le | 2011-09-13 |
Traducteur | Enaya Iftekar |
Chiffre de Pages | 192 Pages |
La taille du fichier | 36.87 MB |
Langue du Livre | Français & Anglais |
Éditeur | Seizin Press |
ISBN-10 | 4267647123-TWM |
Format de E-Book | AMZ EPub PDF HTML PRC |
Écrivain | S. Albeverio |
EAN | 513-1121168140-FBU |
Nom de Fichier | Theory-of-p-adic-Distributions-Linear-and-Nonlinear-Models.pdf |
Télécharger Theory of p-adic Distributions: Linear and Nonlinear Models Livre PDF Gratuit
Theory of padic Distributions Linear and Nonlinear Models London Mathematical Society Lecture Note Series Book 370 English Edition 1st Edition Format Kindle
Noté 005 Retrouvez Theory of padic Distributions Linear and Nonlinear Models et des millions de livres en stock sur Achetez neuf ou doccasion
Nonlinear mixed models stand apart in mixed models methodology Contrary to linear and generalized linear models often used as black boxes the trajectory function t in nonlinear models generally comes from the integration of dierential equations This provides a biological interpretation for the parameters whereas models are often more
Découvrez et achetez The theory of p adic distributions linear and nonlinear models Livraison en Europe à 1 centime seulement
Presentation from ERCIM2013 with examples of rowcolumn association models the stereotype model and the onedimensional Rasch model
In ecology and evolution we often encounter problems where we want to use particular nonlinear functions or response distributions that can’t be simplified for use in linear or generalized mixed models for example functional response curves in predatorprey systems or von Mises distributions for turning angles in animal movement
The discussion of other topicsloglinear and related models log oddsratio regression models multinomial response models inverse linear and related models quasilikelihood functions and model checkingwas expanded and incorporates significant revisions