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Titre :
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Zero inflated models and generalized linear mixed models with R
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Auteurs :
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Alain F. Zuur, Auteur ;
Anatoly A. Saveliev, Auteur ;
Elena N. Ieno, Auteur
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Type de document :
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Ouvrage
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Editeur :
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Newburgh, U.K. : Highland Statistics Ltd., 2012
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ISBN/ISSN/EAN :
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978-0-9571741-0-8
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Format :
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xviii+324
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Langues:
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Anglais
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Index. décimale :
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MA1 (Mathématiques, Statistiques, Informatique)
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Mots-clés :
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Statistique
;
Analyse données
;
Modèle
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Mots-clés:
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Ecology -- Statistical methods
;
Modèles linéaires généralisés
;
Multilevel models (Statistics)
;
R (logiciel)
;
Statistique bayésienne
;
Écologie -- Méthodes statistiques
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Résumé :
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In this book, the authors use the software package R along with simulation techniques (Markov Chain Monte Carlo . This involves incorporating the concept of Bayesian statistics into proficiency in R. Bayesian statistics is not routinely taught at universities , and we include an introductory chapter on this topic. Statistical theory is not presented as a separate entity, but is integrated in to 9 case - study analyses . The common components of these data sets are zero inflation, 1 - way and 2 - way nested data, temporal correlation , and spatial correlation. As zero inflated models consist of 2 GLMMs (or GAMMs) , the authors discuss these types of models
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