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Titre : Numerical analysis for statisticians Type de document : livre Auteurs : Lange, K. Mention d'édition : 02 éd. Editeur : New York : Springer Année de publication : 2010 Collection : Statistics and Computing Importance : 600 p. ISBN/ISSN/EAN : 978-1-4419-5944-7 Langues : Anglais (eng) Mots-clés : Mathematical statistics Numerical analysis En ligne : http://dx.doi.org/10.1007/978-1-4419-5945-4 Numerical analysis for statisticians [livre] / Lange, K. . - 02 éd. . - New York : Springer, 2010 . - 600 p.. - (Statistics and Computing) .
ISBN : 978-1-4419-5944-7
Langues : Anglais (eng)
Mots-clés : Mathematical statistics Numerical analysis En ligne : http://dx.doi.org/10.1007/978-1-4419-5945-4 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 68962 LAN_11_68962 Livre Salle des ouvrages 11_Mathématiques Sorti jusqu'au 25/05/2043 Mixed-effects models in S and S-PLUS / Pinheiro, J.C. ; Bates, D.M. (2004)
Titre : Mixed-effects models in S and S-PLUS Type de document : livre Auteurs : Pinheiro, J.C. ; Bates, D.M. Editeur : New York : Springer Année de publication : 2004 Collection : Statistics and Computing Importance : 528 p. ISBN/ISSN/EAN : 978-0-387-98957-0 Langues : Anglais (eng) Mots-clés : Computer software Data analysis Mathematical models Mathematical statistics Résumé : This book provides an overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data. A unified model-building strategy for both linear and nonlinear models is presented and applied to the analysis of over 20 real datasets from a wide variety of areas, including pharmacokinetics, agriculture, and manufacturing. A strong emphasis is placed on the use of graphical displays at the various phases of the model-building process, starting with exploratory plots of the data and concluding with diagnostic plots to assess the adequacy of a fitted model. Over 170 figures are included in the book. The NLME library for analyzing mixed-effects models in S and S-PLUS, developed by the authors, provides the underlying software for implementing the methods presented in the text, being described and illustrated in detail throughout the book. The balanced mix of real data examples, modeling software, and theory makes this book a useful reference for practitioners who use, or intend to use, mixed-effects models in their data analyses. It can also be used as a text for a one-semester graduate-level applied course in mixed-effects models. Researchers in statistical computing will also find this book appealing for its presentation of novel and efficient computational methods for fitting linear and nonlinear mixed-effects models. [Résumé éditeur] Mixed-effects models in S and S-PLUS [livre] / Pinheiro, J.C. ; Bates, D.M. . - New York : Springer, 2004 . - 528 p.. - (Statistics and Computing) .
ISBN : 978-0-387-98957-0
Langues : Anglais (eng)
Mots-clés : Computer software Data analysis Mathematical models Mathematical statistics Résumé : This book provides an overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data. A unified model-building strategy for both linear and nonlinear models is presented and applied to the analysis of over 20 real datasets from a wide variety of areas, including pharmacokinetics, agriculture, and manufacturing. A strong emphasis is placed on the use of graphical displays at the various phases of the model-building process, starting with exploratory plots of the data and concluding with diagnostic plots to assess the adequacy of a fitted model. Over 170 figures are included in the book. The NLME library for analyzing mixed-effects models in S and S-PLUS, developed by the authors, provides the underlying software for implementing the methods presented in the text, being described and illustrated in detail throughout the book. The balanced mix of real data examples, modeling software, and theory makes this book a useful reference for practitioners who use, or intend to use, mixed-effects models in their data analyses. It can also be used as a text for a one-semester graduate-level applied course in mixed-effects models. Researchers in statistical computing will also find this book appealing for its presentation of novel and efficient computational methods for fitting linear and nonlinear mixed-effects models. [Résumé éditeur] Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 67693 PIN_11_67693 Livre Salle des ouvrages 11_Mathématiques Sorti jusqu'au 25/05/2043
Titre : Introductory statistics with R Type de document : livre Auteurs : Peter Dalgaard, Auteur Editeur : New York : Springer Année de publication : 2002 Collection : Statistics and Computing Importance : 267 p. ISBN/ISSN/EAN : 978-0-387-95475-2 Note générale : 2 ex. Langues : Anglais (eng) Mots-clés : Logiciel Modèle Méthode statistique Traitement des données En ligne : https://link.springer.com/book/10.1007/978-0-387-79054-1 Format de la ressource électronique : PDF (2nd ed. 2008) Introductory statistics with R [livre] / Peter Dalgaard, Auteur . - New York : Springer, 2002 . - 267 p.. - (Statistics and Computing) .
ISBN : 978-0-387-95475-2
2 ex.
Langues : Anglais (eng)
Mots-clés : Logiciel Modèle Méthode statistique Traitement des données En ligne : https://link.springer.com/book/10.1007/978-0-387-79054-1 Format de la ressource électronique : PDF (2nd ed. 2008) Exemplaires (2)
Code-barres Cote Support Localisation Section Disponibilité 67316 DAL_11_67316 Livre Salle des ouvrages 11_Mathématiques Disponible 68202 DAL_11_68202 Livre Salle des ouvrages 11_Mathématiques Disponible Modern applied statistics with S / Venables, W.N. (2002)
Titre : Modern applied statistics with S Type de document : livre Auteurs : Venables, W.N., Auteur ; Ripley, B.D., Auteur Mention d'édition : 4th ed. Editeur : New York : Springer Année de publication : 2002 Collection : Statistics and Computing Importance : 495 p. ISBN/ISSN/EAN : 978-0-387-95457-8 Langues : Anglais (eng) Mots-clés : Data processing Mathematical statistics Statistical methods Statistics Résumé : S-PLUS is a powerful environment for the statistical and graphical analysis of data. It provides the tools to implement many statistical ideas which have been made possible by the widespread availability of workstations having good graphics and computational capabilities. This book is a guide to using S-PLUS to perform statistical analyses and provides both an introduction to the use of S-PLUS and a course in modern statistical methods. S-PLUS is available for both Windows and UNIX workstations, and both versions are covered in depth. The aim of the book is to show how to use S-PLUS as a powerful and graphical data analysis system. Readers are assumed to have a basic grounding in statistics, and so the book in intended for would-be users of S-PLUS and both students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets. Many of the methods discussed are state-of-the-art approaches to topics such as linear, nonlinear, and smooth regression models, tree-based methods, multivariate analysis and pattern recognition, survival analysis, time series and spatial statistics. Throughout, modern techniques such as robust methods, non-parametric smoothing, and bootstrapping are used where appropriate. This fourth edition is intended for users of S-PLUS 6.0 or R 1.5.0 or later. A substantial change from the third edition is updating for the current versions of S-PLUS and adding coverage of R. The introductory material has been rewritten to emphasis the import, export and manipulation of data. Increased computational power allows even more computer-intensive methods to be used, and methods such as GLMMs, MARS, SOM and support vector machines are considered. Modern applied statistics with S [livre] / Venables, W.N., Auteur ; Ripley, B.D., Auteur . - 4th ed. . - New York : Springer, 2002 . - 495 p.. - (Statistics and Computing) .
ISBN : 978-0-387-95457-8
Langues : Anglais (eng)
Mots-clés : Data processing Mathematical statistics Statistical methods Statistics Résumé : S-PLUS is a powerful environment for the statistical and graphical analysis of data. It provides the tools to implement many statistical ideas which have been made possible by the widespread availability of workstations having good graphics and computational capabilities. This book is a guide to using S-PLUS to perform statistical analyses and provides both an introduction to the use of S-PLUS and a course in modern statistical methods. S-PLUS is available for both Windows and UNIX workstations, and both versions are covered in depth. The aim of the book is to show how to use S-PLUS as a powerful and graphical data analysis system. Readers are assumed to have a basic grounding in statistics, and so the book in intended for would-be users of S-PLUS and both students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets. Many of the methods discussed are state-of-the-art approaches to topics such as linear, nonlinear, and smooth regression models, tree-based methods, multivariate analysis and pattern recognition, survival analysis, time series and spatial statistics. Throughout, modern techniques such as robust methods, non-parametric smoothing, and bootstrapping are used where appropriate. This fourth edition is intended for users of S-PLUS 6.0 or R 1.5.0 or later. A substantial change from the third edition is updating for the current versions of S-PLUS and adding coverage of R. The introductory material has been rewritten to emphasis the import, export and manipulation of data. Increased computational power allows even more computer-intensive methods to be used, and methods such as GLMMs, MARS, SOM and support vector machines are considered. Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 67694 VEN_11_67694 Livre Salle des ouvrages 11_Mathématiques Disponible VARIOWIN: software for spatial data analysis in 2D / Pannatier, Y. (1996)
Titre : VARIOWIN: software for spatial data analysis in 2D Type de document : livre Auteurs : Pannatier, Y., Auteur Editeur : New York : Springer Année de publication : 1996 Collection : Statistics and Computing Importance : 91 p. ISBN/ISSN/EAN : 978-0-387-94679-5 Note générale : ISBN-10 : 0-387-94679-9; Comprend une disquette 3.5" Langues : Anglais (eng) Mots-clés : GEOSTATISTIQUE Logiciel Modélisation Statistique VARIOGRAMME VARIOWIN: software for spatial data analysis in 2D [livre] / Pannatier, Y., Auteur . - New York : Springer, 1996 . - 91 p.. - (Statistics and Computing) .
ISBN : 978-0-387-94679-5
ISBN-10 : 0-387-94679-9; Comprend une disquette 3.5"
Langues : Anglais (eng)
Mots-clés : GEOSTATISTIQUE Logiciel Modélisation Statistique VARIOGRAMME Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 57838 PAN_11_57838 Livre Salle des ouvrages 11_Mathématiques Disponible