4 recherche sur le mot-clé 'Modeling'   

Spatial ecology and conservation modeling: applications with R / Robert Fletcher (2018)  

Public ISBD Titre : Spatial ecology and conservation modeling: applications with R Type de document : livre Auteurs : Robert Fletcher, Auteur ; Marie-Josée Fortin, Auteur Editeur : Cham, Switzerland : Springer Année de publication : 2018 Collection : Life sciences (Cham) Importance : 523 p. ISBN/ISSN/EAN : 978-3-030-01988-4 Note générale : Voir quelques extraits sur Google Livres : https://books.google.fr/books?id=RlWIDwAAQBAJ&lpg=PR4&dq=%22Spatial%20ecology%20and%20conservation%20modeling%3A%20applications%20with%20R%22&hl=fr&pg=PR4#v=onepage&q=%22Spatial%20ecology%20and%20conservation%20modeling:%20applications%20with%20R%22&f=false Langues : Anglais (eng) Mots-clés : Landscape ecology  Conservation  Spatial analysis  Statistical methods  Software development  Modeling  R (Computer program language) Résumé : This book provides a foundation for modern applied ecology. Much of current ecology research and conservation addresses problems across landscapes and regions, focusing on spatial patterns and processes. This book is aimed at teaching fundamental concepts and focuses on learning-by-doing through the use of examples with the software R. It is intended to provide an entry-level, easily accessible foundation for students and practitioners interested in spatial ecology and conservation. Note de contenu : Voir aussi "supporting files" : https://ufdc.ufl.edu/IR00010770/00001 En ligne : https://doi.org/10.1007/978-3-030-01989-1 Spatial ecology and conservation modeling: applications with R [livre] / Robert Fletcher, Auteur ; Marie-Josée Fortin, Auteur . - Cham, Switzerland : Springer, 2018 . - 523 p.. - (Life sciences (Cham)) . ISBN : 978-3-030-01988-4 Voir quelques extraits sur Google Livres : https://books.google.fr/books?id=RlWIDwAAQBAJ&lpg=PR4&dq=%22Spatial%20ecology%20and%20conservation%20modeling%3A%20applications%20with%20R%22&hl=fr&pg=PR4#v=onepage&q=%22Spatial%20ecology%20and%20conservation%20modeling:%20applications%20with%20R%22&f=false Langues : Anglais (eng) Mots-clés : Landscape ecology  Conservation  Spatial analysis  Statistical methods  Software development  Modeling  R (Computer program language) Résumé : This book provides a foundation for modern applied ecology. Much of current ecology research and conservation addresses problems across landscapes and regions, focusing on spatial patterns and processes. This book is aimed at teaching fundamental concepts and focuses on learning-by-doing through the use of examples with the software R. It is intended to provide an entry-level, easily accessible foundation for students and practitioners interested in spatial ecology and conservation. Note de contenu : Voir aussi "supporting files" : https://ufdc.ufl.edu/IR00010770/00001 En ligne : https://doi.org/10.1007/978-3-030-01989-1

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69671	FLE_11_69671	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 05/02/2044

Graphs and networks: multilevel modeling / Mathis, P.(Ed.) (2007)  

Public ISBD Titre : Graphs and networks: multilevel modeling Type de document : livre Auteurs : Mathis, P.(Ed.) Editeur : London : ISTE Editions Année de publication : 2007 Collection : Geographical information systems series Importance : 321 p. ISBN/ISSN/EAN : 978-1-905209-08-8 Note générale : Inventaire 2008: Pointé et ré-emprunté le 19/03/2008 Langues : Anglais (eng) Mots-clés : Graphs  Modeling  Networks Résumé : This book concerns the use of graphs for the simulation and representation of transport networks. Its aim is to cover networks in both spatial analysis and urban management, together with the simulation by graph theory, a tool that makes it possible to solve various classic problems such as high-speed roads between one or more origins and destinations, the capacity of a network, etc. It will also be possible to apply these results to other applications such as personal networks and communications networks, making this book a useful reference tool for those involved in this area. [Résumé éditeur] Note de contenu : Hbk; En ligne : http://www.iste.co.uk/index.php?p=a&ACTION=View&id=70 Graphs and networks: multilevel modeling [livre] / Mathis, P.(Ed.) . - London : ISTE Editions, 2007 . - 321 p.. - (Geographical information systems series) . ISBN : 978-1-905209-08-8 Inventaire 2008: Pointé et ré-emprunté le 19/03/2008 Langues : Anglais (eng) Mots-clés : Graphs  Modeling  Networks Résumé : This book concerns the use of graphs for the simulation and representation of transport networks. Its aim is to cover networks in both spatial analysis and urban management, together with the simulation by graph theory, a tool that makes it possible to solve various classic problems such as high-speed roads between one or more origins and destinations, the capacity of a network, etc. It will also be possible to apply these results to other applications such as personal networks and communications networks, making this book a useful reference tool for those involved in this area. [Résumé éditeur] Note de contenu : Hbk; En ligne : http://www.iste.co.uk/index.php?p=a&ACTION=View&id=70

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
68157	Mat_22_68157	Livre	Salle des ouvrages	22_Géomatique	Disponible

Structural equation modeling: a bayesian approach / Lee, S.-Y. (2007)

Public ISBD Titre : Structural equation modeling: a bayesian approach Type de document : livre Auteurs : Lee, S.-Y. Editeur : Chichester, U.K. : Wiley Année de publication : 2007 Collection : Wiley series in probability and statistics Importance : 432 p. ISBN/ISSN/EAN : 978-0-470-02423-2 Note générale : Inventaire 2007: Pointé et emprunté le 05/07/2007 Langues : Anglais (eng) Mots-clés : Bayesian statistical decision theory  Modeling Résumé : Structural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous hypotheses about the impacts of latent and manifest variables on other variables, taking measurement errors into account. As SEMs have grown in popularity in recent years, new models and statistical methods have been developed for more accurate analysis of more complex data. A Bayesian approach to SEMs allows the use of prior information resulting in improved parameter estimates, latent variable estimates, and statistics for model comparison, as well as offering more reliable results for smaller samples. Note de contenu : Hbk; Structural equation modeling: a bayesian approach [livre] / Lee, S.-Y. . - Chichester, U.K. : Wiley, 2007 . - 432 p.. - (Wiley series in probability and statistics) . ISBN : 978-0-470-02423-2 Inventaire 2007: Pointé et emprunté le 05/07/2007 Langues : Anglais (eng) Mots-clés : Bayesian statistical decision theory  Modeling Résumé : Structural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous hypotheses about the impacts of latent and manifest variables on other variables, taking measurement errors into account. As SEMs have grown in popularity in recent years, new models and statistical methods have been developed for more accurate analysis of more complex data. A Bayesian approach to SEMs allows the use of prior information resulting in improved parameter estimates, latent variable estimates, and statistics for model comparison, as well as offering more reliable results for smaller samples. Note de contenu : Hbk;

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
67831	Lee_11_67831	Livre	Salle des ouvrages	11_Mathématiques	Disponible

Bayesian statistical modelling / Congdon, P. (2006)  

Public ISBD Titre : Bayesian statistical modelling Type de document : livre Auteurs : Congdon, P. Mention d'édition : 2nd ed. Editeur : Hoboken, New Jersey, USA : Wiley Année de publication : 2006 Collection : Wiley series in probability and statistics Importance : 573 p. ISBN/ISSN/EAN : 978-0-470-01875-0 Langues : Anglais (eng) Mots-clés : Bayesian statistical decision theory  Modeling Résumé : Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian methods, allowing their application in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics. Following the success of the first edition, this reworked and updated book provides an accessible approach to Bayesian computing and analysis, with an emphasis on the principles of prior selection, identification and the interpretation of real data sets. [Résumé éditeur] En ligne : http://www.loc.gov/catdir/toc/ecip0617/2006023990.html Bayesian statistical modelling [livre] / Congdon, P.  . -  2nd ed. . - Hoboken, New Jersey, USA : Wiley, 2006 . - 573 p.. - (Wiley series in probability and statistics) . ISBN : 978-0-470-01875-0 Langues : Anglais (eng) Mots-clés : Bayesian statistical decision theory  Modeling Résumé : Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian methods, allowing their application in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics. Following the success of the first edition, this reworked and updated book provides an accessible approach to Bayesian computing and analysis, with an emphasis on the principles of prior selection, identification and the interpretation of real data sets. [Résumé éditeur] En ligne : http://www.loc.gov/catdir/toc/ecip0617/2006023990.html

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
67830	CON_11_67830	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 25/05/2043