2 recherche sur le mot-clé 'Modelling'   

Integrated population models: theory and ecological applications with R and JAGS / Michael Schaub (2022)  

Public ISBD Titre : Integrated population models: theory and ecological applications with R and JAGS Type de document : livre Auteurs : Michael Schaub, Auteur ; Marc Kéry, Auteur Editeur : London : Academic Press Année de publication : 2022 Autre Editeur : London : Elsevier Importance : 622 p. ISBN/ISSN/EAN : 978-0-323-90810-8 Prix : 116.05 EUR Note générale : DOI: 10.1016/C2019-0-02015-8 Langues : Anglais (eng) Mots-clés : Modelling  Statistical methods  Population dynamics  R (Computer program language) Résumé : Le site éditeur indique : Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population. Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the relevant theory of integrated population models with an extensive overview of　practical applications, using Bayesian methods by means of case studies. The book contains fully-documented, complete code for fitting all models in the free software, R and JAGS. It also includes all required code for pre- and post-model-fitting analysis. Integrated Population Models is an invaluable reference for researchers and practitioners involved in population analysis, and for graduate-level students in ecology, conservation biology, wildlife management, and related fields.　The text is ideal for self-study and advanced graduate-level courses. Note de contenu : Additional material for the book is provided on the book web page www.vogelwarte.ch/ipm [https://www.vogelwarte.ch/en/projects/publications/ipm/] En ligne : https://www.sciencedirect.com/book/9780323908108/integrated-population-models Integrated population models: theory and ecological applications with R and JAGS [livre] / Michael Schaub, Auteur ; Marc Kéry, Auteur . - London : Academic Press : London : Elsevier, 2022 . - 622 p. ISBN : 978-0-323-90810-8 : 116.05 EUR DOI: 10.1016/C2019-0-02015-8 Langues : Anglais (eng) Mots-clés : Modelling  Statistical methods  Population dynamics  R (Computer program language) Résumé : Le site éditeur indique : Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population. Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the relevant theory of integrated population models with an extensive overview of　practical applications, using Bayesian methods by means of case studies. The book contains fully-documented, complete code for fitting all models in the free software, R and JAGS. It also includes all required code for pre- and post-model-fitting analysis. Integrated Population Models is an invaluable reference for researchers and practitioners involved in population analysis, and for graduate-level students in ecology, conservation biology, wildlife management, and related fields.　The text is ideal for self-study and advanced graduate-level courses. Note de contenu : Additional material for the book is provided on the book web page www.vogelwarte.ch/ipm [https://www.vogelwarte.ch/en/projects/publications/ipm/] En ligne : https://www.sciencedirect.com/book/9780323908108/integrated-population-models

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69763	SCH_11_69763	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 25/05/2043

Categorical data analysis / Alan Agresti (2002)  

Public ISBD Titre : Categorical data analysis Type de document : livre Auteurs : Alan Agresti, Auteur Mention d'édition : 2nd ed. Editeur : Hoboken, New Jersey, USA : Wiley Année de publication : 2002 Collection : Wiley series in probability and statistics Importance : 710 p. ISBN/ISSN/EAN : 978-0-471-36093-3 Note générale : Voir aussi 1ère édition de 1990 à la cote 66555/11; DOI:10.1002/0471249688 Langues : Anglais (eng) Mots-clés : Analysis  Linear models  Modelling  Multivariate analysis  Statistical methods Résumé : The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. Responding to new developments in the field as well as to the needs of a new generation of professionals and students, this new edition of the classic Categorical Data Analysis offers a comprehensive introduction to the most important methods for categorical data analysis. Designed for statisticians and biostatisticians as well as scientists and graduate students practicing statistics, Categorical Data Analysis, Second Edition summarizes the latest methods for univariate and correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial regression for discrete data with normal regression for continuous data. Adding to the value in the new edition is coverage of: * Three new chapters on methods for repeated measurement and other forms of clustered categorical data, including marginal models and associated generalized estimating equations (GEE) methods, and mixed models with random effects * Stronger emphasis on logistic regression modeling of binary and multicategory data * An appendix showing the use of SAS for conducting nearly all analyses in the book * Prescriptions for how ordinal variables should be treated differently than nominal variables * Discussion of exact small-sample procedures * More than 100 analyses of real data sets to illustrate application of the methods, and more than 600 exercises. En ligne : http://dx.doi.org/10.1002/0471249688 Categorical data analysis [livre] / Alan Agresti, Auteur  . -  2nd ed. . - Hoboken, New Jersey, USA : Wiley, 2002 . - 710 p.. - (Wiley series in probability and statistics) . ISBN : 978-0-471-36093-3 Voir aussi 1ère édition de 1990 à la cote 66555/11; DOI:10.1002/0471249688 Langues : Anglais (eng) Mots-clés : Analysis  Linear models  Modelling  Multivariate analysis  Statistical methods Résumé : The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. Responding to new developments in the field as well as to the needs of a new generation of professionals and students, this new edition of the classic Categorical Data Analysis offers a comprehensive introduction to the most important methods for categorical data analysis. Designed for statisticians and biostatisticians as well as scientists and graduate students practicing statistics, Categorical Data Analysis, Second Edition summarizes the latest methods for univariate and correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial regression for discrete data with normal regression for continuous data. Adding to the value in the new edition is coverage of: * Three new chapters on methods for repeated measurement and other forms of clustered categorical data, including marginal models and associated generalized estimating equations (GEE) methods, and mixed models with random effects * Stronger emphasis on logistic regression modeling of binary and multicategory data * An appendix showing the use of SAS for conducting nearly all analyses in the book * Prescriptions for how ordinal variables should be treated differently than nominal variables * Discussion of exact small-sample procedures * More than 100 analyses of real data sets to illustrate application of the methods, and more than 600 exercises. En ligne : http://dx.doi.org/10.1002/0471249688

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
67581	AGR_11_67581	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 25/05/2043