64 recherche sur le mot-clé 'Mathematical models'   

An introduction to mathematical models in ecology and evolution: time and space / GILLMAN, M. (2009)  

Public ISBD Titre : An introduction to mathematical models in ecology and evolution: time and space Type de document : livre Auteurs : GILLMAN, M. Mention d'édition : 02 éd. Editeur : Chichester, UK : Wiley-Blackwell Année de publication : 2009 Collection : Ecological methods and concepts Importance : 158 p. ISBN/ISSN/EAN : 978-1-4051-7515-9 Langues : Anglais (eng) Mots-clés : Ecology  Evolution (Biology)  Mathematical models Note de contenu : Pbk; En ligne : http://www.loc.gov/catdir/enhancements/fy0915/2008046481-t.html An introduction to mathematical models in ecology and evolution: time and space [livre] / GILLMAN, M.  . -  02 éd. . - Chichester, UK : Wiley-Blackwell, 2009 . - 158 p.. - (Ecological methods and concepts) . ISBN : 978-1-4051-7515-9 Langues : Anglais (eng) Mots-clés : Ecology  Evolution (Biology)  Mathematical models Note de contenu : Pbk; En ligne : http://www.loc.gov/catdir/enhancements/fy0915/2008046481-t.html

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
68840	GIL_11_68840	Livre	Salle des ouvrages	11_Mathématiques	Disponible

Sustainable management of natural resources: mathematical models and methods / De Lara, M. ; Doyen, L. (2008)  

Public ISBD Titre : Sustainable management of natural resources: mathematical models and methods Type de document : livre Auteurs : De Lara, M. ; Doyen, L. Editeur : Berlin : Springer Année de publication : 2008 Collection : Environmental science and engineering Importance : 266 p. ISBN/ISSN/EAN : 978-3-540-79073-0 Langues : Anglais (eng) Mots-clés : Environmental management  Mathematical models Note de contenu : Hbk; En ligne : http://dx.doi.org/10.1007/978-3-540-79074-7 Sustainable management of natural resources: mathematical models and methods [livre] / De Lara, M. ; Doyen, L. . - Berlin : Springer, 2008 . - 266 p.. - (Environmental science and engineering) . ISBN : 978-3-540-79073-0 Langues : Anglais (eng) Mots-clés : Environmental management  Mathematical models Note de contenu : Hbk; En ligne : http://dx.doi.org/10.1007/978-3-540-79074-7

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
68762	De _11_68762	Livre	Salle des ouvrages	11_Mathématiques	Disponible

Introduction to quantitative ecology: mathematical and statistical modelling for beginners / Timothy E. Essington (2021)  

Public ISBD Titre : Introduction to quantitative ecology: mathematical and statistical modelling for beginners Type de document : livre Auteurs : Timothy E. Essington, Auteur Mention d'édition : 1st ed. Editeur : New York : Oxford University Press, NY Année de publication : 2021 Importance : 304 p. ISBN/ISSN/EAN : 978-0-19-284348-7 Prix : 34.99 GBP Note générale : DOI:10.1093/oso/9780192843470.001.0001; Companion website : https://global.oup.com/booksites/content/9780192843470/ Langues : Anglais (eng) Mots-clés : Quantitative analysis  Statistical models  Mathematical models  R (Computer program language)  Ecology  Resource conservation  Resource management Résumé : La 4ème de couv. indique : Environmental science (ecology, conservation, and resource management) is an increasingly quantitative field. A well-trained ecologist now needs to evaluate evidence generated from complex quantitative methods, and to apply these methods in their own research. Yet the existing books and academic coursework are not adequately serving most of the potential audience - instead they cater to the specialists who wish to focus on either mathematical or statistical aspects, and overwhelmingly appeal to those who already have confidence in their quantitative skills. At the same time, many texts lack an explicit emphasis on the epistemology of quantitative techniques. That is, how do we gain understanding about the real world from models that are so vastly simplified? This accessible book introduces quantitative ecology in a manner that aims to confront these limitations and thereby appeal to a far wider audience. It presents material in an informal, approachable, and encouraging manner that welcomes readers with any degree of confidence and prior training. It covers foundational topics in both mathematical and statistical ecology before describing how to implement these concepts to choose, use, and analyse models, providing guidance and worked examples in both spreadsheet format and R. The emphasis throughout is on the skilful interpretation of models to answer questions about the natural world. "Introduction to Quantitative Ecology" is suitable for advanced undergraduate students and incoming graduate students, seeking to strengthen their understanding of quantitative methods and to apply them successfully to real world ecology, conservation, and resource management scenarios. En ligne : https://global.oup.com/academic/product/introduction-to-quantitative-ecology-978 [...] Introduction to quantitative ecology: mathematical and statistical modelling for beginners [livre] / Timothy E. Essington, Auteur  . -  1st ed. . - New York : Oxford University Press, NY, 2021 . - 304 p. ISBN : 978-0-19-284348-7 : 34.99 GBP DOI:10.1093/oso/9780192843470.001.0001; Companion website : https://global.oup.com/booksites/content/9780192843470/ Langues : Anglais (eng) Mots-clés : Quantitative analysis  Statistical models  Mathematical models  R (Computer program language)  Ecology  Resource conservation  Resource management Résumé : La 4ème de couv. indique : Environmental science (ecology, conservation, and resource management) is an increasingly quantitative field. A well-trained ecologist now needs to evaluate evidence generated from complex quantitative methods, and to apply these methods in their own research. Yet the existing books and academic coursework are not adequately serving most of the potential audience - instead they cater to the specialists who wish to focus on either mathematical or statistical aspects, and overwhelmingly appeal to those who already have confidence in their quantitative skills. At the same time, many texts lack an explicit emphasis on the epistemology of quantitative techniques. That is, how do we gain understanding about the real world from models that are so vastly simplified? This accessible book introduces quantitative ecology in a manner that aims to confront these limitations and thereby appeal to a far wider audience. It presents material in an informal, approachable, and encouraging manner that welcomes readers with any degree of confidence and prior training. It covers foundational topics in both mathematical and statistical ecology before describing how to implement these concepts to choose, use, and analyse models, providing guidance and worked examples in both spreadsheet format and R. The emphasis throughout is on the skilful interpretation of models to answer questions about the natural world. "Introduction to Quantitative Ecology" is suitable for advanced undergraduate students and incoming graduate students, seeking to strengthen their understanding of quantitative methods and to apply them successfully to real world ecology, conservation, and resource management scenarios. En ligne : https://global.oup.com/academic/product/introduction-to-quantitative-ecology-978 [...]

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69844	ESS_11_69844	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 25/05/2043

Frailty models in survival analysis / Wienke, Andreas (2011)  

Public ISBD Titre : Frailty models in survival analysis Type de document : livre Auteurs : Wienke, Andreas, Auteur Editeur : Boca Raton, Florida : CRC Press Année de publication : 2011 Collection : Chapman & Hall/CRC Biostatistics series Importance : 301 p. ISBN/ISSN/EAN : 978-1-4200-7388-1 Langues : Anglais (eng) Mots-clés : Demography  FAILURE TIME DATA ANALYSIS  Mathematical models  Mathematics  MORTALITY  Survival analysis (Biometry) Résumé : "The concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form, frailty is an unobserved random proportionality factor that modifies the hazard function of an individual or a group of related individuals. Frailty Models in Survival Analysis presents a comprehensive overview of the fundamental approaches in the area of frailty models. The book extensively explores how univariate frailty models can represent unobserved heterogeneity. It also emphasizes correlated frailty models as extensions of univariate and shared frailty models. The author analyzes similarities and differences between frailty and copula models; discusses problems related to frailty models, such as tests for homogeneity; and describes parametric and semiparametric models using both frequentist and Bayesian approaches. He also shows how to apply the models to real data using the statistical packages of R, SAS, and Stata. The appendix provides the technical mathematical results used throughout. Written in nontechnical terms accessible to nonspecialists, this book explains the basic ideas in frailty modeling and statistical techniques, with a focus on real-world data application and interpretation of the results. By applying several models to the same data, it allows for the comparison of their advantages and limitations under varying model assumptions. The book also employs simulations to analyze the finite sample size performance of the models." En ligne : https://www.routledge.com/Frailty-Models-in-Survival-Analysis/Wienke/p/book/9781 [...] Frailty models in survival analysis [livre] / Wienke, Andreas, Auteur . - Boca Raton, Florida : CRC Press, 2011 . - 301 p.. - (Chapman & Hall/CRC Biostatistics series) . ISBN : 978-1-4200-7388-1 Langues : Anglais (eng) Mots-clés : Demography  FAILURE TIME DATA ANALYSIS  Mathematical models  Mathematics  MORTALITY  Survival analysis (Biometry) Résumé : "The concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form, frailty is an unobserved random proportionality factor that modifies the hazard function of an individual or a group of related individuals. Frailty Models in Survival Analysis presents a comprehensive overview of the fundamental approaches in the area of frailty models. The book extensively explores how univariate frailty models can represent unobserved heterogeneity. It also emphasizes correlated frailty models as extensions of univariate and shared frailty models. The author analyzes similarities and differences between frailty and copula models; discusses problems related to frailty models, such as tests for homogeneity; and describes parametric and semiparametric models using both frequentist and Bayesian approaches. He also shows how to apply the models to real data using the statistical packages of R, SAS, and Stata. The appendix provides the technical mathematical results used throughout. Written in nontechnical terms accessible to nonspecialists, this book explains the basic ideas in frailty modeling and statistical techniques, with a focus on real-world data application and interpretation of the results. By applying several models to the same data, it allows for the comparison of their advantages and limitations under varying model assumptions. The book also employs simulations to analyze the finite sample size performance of the models." En ligne : https://www.routledge.com/Frailty-Models-in-Survival-Analysis/Wienke/p/book/9781 [...]

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69091	WIE_11_69091	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 25/05/2043

Mixed models: theory and applications / Demidenko, E. (2004)  

Public ISBD Titre : Mixed models: theory and applications Type de document : livre Auteurs : Demidenko, E., Auteur Editeur : Hoboken, New Jersey, USA : Wiley Année de publication : 2004 Collection : Wiley series in probability and statistics Importance : 704 p. ISBN/ISSN/EAN : 978-0-471-60161-6 Langues : Anglais (eng) Mots-clés : Mathematical models  Statistical methods Résumé : This timely and state-of-the-art topic is covered comprehensively in this book. Providing a complete and in-depth mathematical coverage of the topic - linear, generalized linear, and nonlinear mixed models, along with diagnostics - the book has dual appeal as both a graduate-level text and a reference. Special attention is given to algorithms and their implementations and several appendices make the text self-contained. En ligne : http://www.loc.gov/catdir/toc/wiley041/2004045643.html Mixed models: theory and applications [livre] / Demidenko, E., Auteur . - Hoboken, New Jersey, USA : Wiley, 2004 . - 704 p.. - (Wiley series in probability and statistics) . ISBN : 978-0-471-60161-6 Langues : Anglais (eng) Mots-clés : Mathematical models  Statistical methods Résumé : This timely and state-of-the-art topic is covered comprehensively in this book. Providing a complete and in-depth mathematical coverage of the topic - linear, generalized linear, and nonlinear mixed models, along with diagnostics - the book has dual appeal as both a graduate-level text and a reference. Special attention is given to algorithms and their implementations and several appendices make the text self-contained. En ligne : http://www.loc.gov/catdir/toc/wiley041/2004045643.html

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
67637	DEM_11_67637	Livre	Salle des ouvrages	11_Mathématiques	Disponible

Applied hierarchical modeling in ecology: analysis of distribution, abundance and species richness in R and BUGS: vol. 1: prelude and static models / Marc Kéry (2016)  

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Dynamics of large herbivore populations in changing environments: towards appropriate models / Owen-Smith, N.(Ed.) (2010)

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Mathematical ecology of populations and ecosystems / Pastor, John (2008)  

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Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models / Faraway, J.J. (2006)  

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Working with dynamic crop models: evaluation, analysis, parameterization, and applications / Wallach, Daniel (Ed.) ; Makowski, David (Ed.) ; Jones, James Wigington (Ed.) (2006)  

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