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Titre : Stochastic epidemic models and their statistical analysis Type de document : livre Auteurs : Andersson, H. ; Britton, T. Editeur : New York : Springer Année de publication : 2000 Collection : Lecture notes in statistics, 151 Importance : 137 p. ISBN/ISSN/EAN : 978-0-387-95050-1 Langues : Anglais (eng) Mots-clés : Models Statistical analysis Statistical methods En ligne : http://books.google.fr/books?id=yefrFkUOLNEC&printsec=frontcover Stochastic epidemic models and their statistical analysis [livre] / Andersson, H. ; Britton, T. . - New York : Springer, 2000 . - 137 p.. - (Lecture notes in statistics, 151) .
ISBN : 978-0-387-95050-1
Langues : Anglais (eng)
Mots-clés : Models Statistical analysis Statistical methods En ligne : http://books.google.fr/books?id=yefrFkUOLNEC&printsec=frontcover Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 68207 AND_11_68207 Livre Salle des ouvrages 11_Mathématiques Sorti jusqu'au 25/05/2043 Multivariate descriptive statistical analysis: correspondence analysis and related techniques for large matrices / Lebart, L. ; Morineau, A. ; Warwick, K.M. (1984)
Titre : Multivariate descriptive statistical analysis: correspondence analysis and related techniques for large matrices Type de document : livre Auteurs : Lebart, L. ; Morineau, A. ; Warwick, K.M. Editeur : New York : Wiley Année de publication : 1984 Importance : 231 p. ISBN/ISSN/EAN : 978-0-471-86743-2 Note générale : Inventaire 2008: Pointé et retour le 04/07/2008 Langues : Anglais (eng) Mots-clés : Multivariate analysis Statistical analysis Note de contenu : Hbk; Multivariate descriptive statistical analysis: correspondence analysis and related techniques for large matrices [livre] / Lebart, L. ; Morineau, A. ; Warwick, K.M. . - New York : Wiley, 1984 . - 231 p.
ISBN : 978-0-471-86743-2
Inventaire 2008: Pointé et retour le 04/07/2008
Langues : Anglais (eng)
Mots-clés : Multivariate analysis Statistical analysis Note de contenu : Hbk; Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 67960 Leb_11_67960 Livre Salle des ouvrages 11_Mathématiques Disponible
Titre : Design and analysis of experiments with SAS Type de document : livre Auteurs : J. Lawson, Auteur Editeur : Boca Raton, Florida : CRC Press Année de publication : 2010 Collection : Texts in statistical science Importance : 582 p. ISBN/ISSN/EAN : 978-1-4200-6060-7 Note générale : SAS code for examples in the book is available at http://lawson.mooo.com; Companion website: https://lawsonjsl7.netlify.app/webbook/sasbook/main Langues : Anglais (eng) Mots-clés : Experimental design SAS (Computer file) Statistical analysis Statistical methods En ligne : https://www.routledge.com/Design-and-Analysis-of-Experiments-with-SAS/Lawson/p/b [...] Design and analysis of experiments with SAS [livre] / J. Lawson, Auteur . - Boca Raton, Florida : CRC Press, 2010 . - 582 p.. - (Texts in statistical science) .
ISBN : 978-1-4200-6060-7
SAS code for examples in the book is available at http://lawson.mooo.com; Companion website: https://lawsonjsl7.netlify.app/webbook/sasbook/main
Langues : Anglais (eng)
Mots-clés : Experimental design SAS (Computer file) Statistical analysis Statistical methods En ligne : https://www.routledge.com/Design-and-Analysis-of-Experiments-with-SAS/Lawson/p/b [...] Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 68879 LAW_11_68879 Livre Salle des ouvrages 11_Mathématiques Disponible
Titre : A first course in statistical programming with R Type de document : livre Auteurs : W. John Braun, Auteur ; Duncan J. Murdoch, Auteur Mention d'édition : 1st ed. Editeur : Cambridge, UK : Cambridge University Press Année de publication : 2007 Importance : 163 p. ISBN/ISSN/EAN : 978-0-521-69424-7 Langues : Anglais (eng) Mots-clés : Data analysis Languages Learning R (Computer program language) Statistical analysis Résumé : This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground-breaking R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Learning the language is made easier by the frequent exercises and end-of-chapter reviews that help you progress confidently through the book. Solutions, datasets and any errata will be available from the book's web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis. En ligne : http://books.google.com/books?id=aodgVNrU_8IC&printsec=frontcover&hl=fr A first course in statistical programming with R [livre] / W. John Braun, Auteur ; Duncan J. Murdoch, Auteur . - 1st ed. . - Cambridge, UK : Cambridge University Press, 2007 . - 163 p.
ISBN : 978-0-521-69424-7
Langues : Anglais (eng)
Mots-clés : Data analysis Languages Learning R (Computer program language) Statistical analysis Résumé : This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground-breaking R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Learning the language is made easier by the frequent exercises and end-of-chapter reviews that help you progress confidently through the book. Solutions, datasets and any errata will be available from the book's web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis. En ligne : http://books.google.com/books?id=aodgVNrU_8IC&printsec=frontcover&hl=fr Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 68262 BRA_11_68262 Livre Salle des ouvrages 11_Mathématiques Disponible
Titre : A handbook of statistical analyses using R Type de document : livre Auteurs : Everitt, B.S. ; Hothorn, T. Editeur : Boca Raton : Chapman & Hall/CRC Année de publication : 2006 Importance : 275 p. ISBN/ISSN/EAN : 978-1-58488-539-9 Langues : Anglais (eng) Mots-clés : Handbook R (Computer program language) Statistical analysis Résumé : R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields. Doing for R what Everitt's other Handbooks have done for S-PLUS, STATA, SPSS, and SAS, A Handbook of Statistical Analyses Using R presents straightforward, self-contained descriptions of how to perform a variety of statistical analyses in the R environment. From simple inference to recursive partitioning and cluster analysis, eminent experts Everitt and Hothorn lead you methodically through the steps, commands, and interpretation of the results, addressing theory and statistical background only when useful or necessary. They begin with an introduction to R, discussing the syntax, general operators, and basic data manipulation while summarizing the most important features. Numerous figures highlight R's strong graphical capabilities and exercises at the end of each chapter reinforce the techniques and concepts presented. All data sets and code used in the book are available as a downloadable package from CRAN, the R online archive. * Explains systematically how to use R to perform a wide variety of statistical analyses * Emphasizes practical application and interpretation of results rather than focusing on the theory behind the analyses * Offers an introduction to R, including a summary of the most important features * Covers simple inference, generalized linear models, multilevel models, longitudinal data, classification and regression trees, discriminant analysis, and much more * Includes abundant figures and exercises to demonstrate the capabilities of R and reinforce the methods presented En ligne : http://books.google.fr/books?id=w--RcQQfnRUC&dq=a+handbook+of+statistical+analys [...] A handbook of statistical analyses using R [livre] / Everitt, B.S. ; Hothorn, T. . - Boca Raton : Chapman & Hall/CRC, 2006 . - 275 p.
ISBN : 978-1-58488-539-9
Langues : Anglais (eng)
Mots-clés : Handbook R (Computer program language) Statistical analysis Résumé : R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields. Doing for R what Everitt's other Handbooks have done for S-PLUS, STATA, SPSS, and SAS, A Handbook of Statistical Analyses Using R presents straightforward, self-contained descriptions of how to perform a variety of statistical analyses in the R environment. From simple inference to recursive partitioning and cluster analysis, eminent experts Everitt and Hothorn lead you methodically through the steps, commands, and interpretation of the results, addressing theory and statistical background only when useful or necessary. They begin with an introduction to R, discussing the syntax, general operators, and basic data manipulation while summarizing the most important features. Numerous figures highlight R's strong graphical capabilities and exercises at the end of each chapter reinforce the techniques and concepts presented. All data sets and code used in the book are available as a downloadable package from CRAN, the R online archive. * Explains systematically how to use R to perform a wide variety of statistical analyses * Emphasizes practical application and interpretation of results rather than focusing on the theory behind the analyses * Offers an introduction to R, including a summary of the most important features * Covers simple inference, generalized linear models, multilevel models, longitudinal data, classification and regression trees, discriminant analysis, and much more * Includes abundant figures and exercises to demonstrate the capabilities of R and reinforce the methods presented En ligne : http://books.google.fr/books?id=w--RcQQfnRUC&dq=a+handbook+of+statistical+analys [...] Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 68119 EVE_11_68119 Livre Salle des ouvrages 11_Mathématiques Sorti jusqu'au 25/05/2043 PermalinkPermalinkPermalinkPermalinkPermalink
