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'Analysis of variance'**

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The analysis of binary data / Cox, D.R. (1970)

Titre : The analysis of binary data Type de document : livre Auteurs : Cox, D.R. Mention d'Ã©dition : 01 Ã©d. Editeur : Londres : Chapman and Hall AnnÃ©e de publication : 1970 Collection : Monographs on applied probability and statistics Importance : 142 p. ISBN/ISSN/EAN : 978-0-412-15340-2 Note gÃ©nÃ©rale : Inventaire 2007: Pointé en rayon Langues : Anglais ( eng)Mots-clÃ©s : Analysis of variance Distribution (Probability theory) Probabilities Note de contenu : Hbk; The analysis of binary data [livre] / Cox, D.R. . - 01 Ã©d. . - Londres : Chapman and Hall, 1970 . - 142 p.. - (Monographs on applied probability and statistics) .ISBN: 978-0-412-15340-2

Inventaire 2007: Pointé en rayon

Langues : Anglais (eng)

Mots-clÃ©s : Analysis of variance Distribution (Probability theory) Probabilities Note de contenu : Hbk; ## Exemplaires (1)

Code-barres Cote Support Localisation Section DisponibilitÃ© 67922 Cox_11_67922 Livre Salle des ouvrages 11_Mathématiques DisponibleExtending the linear model with R: generalized linear, mixed effects and nonparametric regression models / Faraway, J.J. (2006)

Titre : Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models Type de document : livre Auteurs : Faraway, J.J., Auteur Editeur : Boca Raton : Chapman & Hall/CRC AnnÃ©e de publication : 2006 Collection : Texts in statistical science Importance : 301 p. ISBN/ISSN/EAN : 978-1-58488-424-8 Langues : Anglais ( eng)Mots-clÃ©s : Analysis of variance Linear models Mathematical models R (Computer program language) Regression analysis RÃ©sumÃ© : Linear models are central to the practice of statistics and form the foundation of a vast range of statistical methodologies. Julian J. Faraway's critically acclaimed Linear Models with R examined regression and analysis of variance, demonstrated the different methods available, and showed in which situations each one applies. Following in those footsteps, Extending the Linear Model with R surveys the techniques that grow from the regression model, presenting three extensions to that framework: generalized linear models (GLMs), mixed effect models, and nonparametric regression models. The author's treatment is thoroughly modern and covers topics that include GLM diagnostics, generalized linear mixed models, trees, and even the use of neural networks in statistics. To demonstrate the interplay of theory and practice, throughout the book the author weaves the use of the R software environment to analyze the data of real examples, providing all of the R commands necessary to reproduce the analyses. A supporting Web site (www.stat.lsa.umich.edu/~faraway/ELM) holds all of the data described in the book. Statisticians need to be familiar with a broad range of ideas and techniques. This book provides a well-stocked toolbox of methodologies, and with its unique presentation of these very modern statistical techniques, holds the potential to break new ground in the way graduate-level courses in this area are taught. En ligne : http://books.google.fr/books?id=ODcRsWpGji4C&dq=extending+the+linear+model+with+ [...] Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models [livre] / Faraway, J.J., Auteur . - Boca Raton : Chapman & Hall/CRC, 2006 . - 301 p.. - (Texts in statistical science) .ISBN: 978-1-58488-424-8

Langues : Anglais (eng)

Mots-clÃ©s : Analysis of variance Linear models Mathematical models R (Computer program language) Regression analysis RÃ©sumÃ© : Linear models are central to the practice of statistics and form the foundation of a vast range of statistical methodologies. Julian J. Faraway's critically acclaimed Linear Models with R examined regression and analysis of variance, demonstrated the different methods available, and showed in which situations each one applies. Following in those footsteps, Extending the Linear Model with R surveys the techniques that grow from the regression model, presenting three extensions to that framework: generalized linear models (GLMs), mixed effect models, and nonparametric regression models. The author's treatment is thoroughly modern and covers topics that include GLM diagnostics, generalized linear mixed models, trees, and even the use of neural networks in statistics. To demonstrate the interplay of theory and practice, throughout the book the author weaves the use of the R software environment to analyze the data of real examples, providing all of the R commands necessary to reproduce the analyses. A supporting Web site (www.stat.lsa.umich.edu/~faraway/ELM) holds all of the data described in the book. Statisticians need to be familiar with a broad range of ideas and techniques. This book provides a well-stocked toolbox of methodologies, and with its unique presentation of these very modern statistical techniques, holds the potential to break new ground in the way graduate-level courses in this area are taught. En ligne : http://books.google.fr/books?id=ODcRsWpGji4C&dq=extending+the+linear+model+with+ [...] ## Exemplaires (1)

Code-barres Cote Support Localisation Section DisponibilitÃ© 68106 FAR_11_68106 Livre Salle des ouvrages 11_Mathématiques Sorti jusqu'au 25/05/2043

Titre : Linear models with R Type de document : livre Auteurs : Faraway, J.J. Editeur : Boca Raton : Chapman & Hall/CRC AnnÃ©e de publication : 2005 Collection : Texts in statistical science Importance : 229 p. ISBN/ISSN/EAN : 978-1-58488-425-5 Langues : Anglais ( eng)Mots-clÃ©s : Analysis of variance Linear models Mathematical models R (Computer program language) Regression analysis RÃ©sumÃ© : Books on regression and the analysis of variance abound-many are introductory, many are theoretical. While most of them do serve a purpose, the fact remains that data analysis cannot be properly learned without actually doing it, and this means using a statistical software package. There are many of these to choose from as well, all with their particular strengths and weaknesses. Lately, however, one such package has begun to rise above the others thanks to its free availability, its versatility as a programming language, and its interactivity. That software is R. In the first book that directly uses R to teach data analysis, Linear Models with R focuses on the practice of regression and analysis of variance. It clearly demonstrates the different methods available and more importantly, in which situations each one applies. It covers all of the standard topics, from the basics of estimation to missing data, factorial designs, and block designs, but it also includes discussion on topics, such as model uncertainty, rarely addressed in books of this type. The presentation incorporates an abundance of examples that clarify both the use of each technique and the conclusions one can draw from the results. All of the data sets used in the book are available for download from http://www.stat.lsa.umich.edu/~faraway/LMR/. The author assumes that readers know the essentials of statistical inference and have a basic knowledge of data analysis, linear algebra, and calculus. The treatment reflects his view of statistical theory and his belief that qualitative statistical concepts, while somewhat more difficult to learn, are just as important because they enable us to practice statistics rather than just talk about it. [RÃ©sumÃ© Ã©diteur] En ligne : http://books.google.fr/books?id=fvenzpofkagC&dq=linear+models+with+r&pg=PP1&ots= [...] Linear models with R [livre] / Faraway, J.J. . - Boca Raton : Chapman & Hall/CRC, 2005 . - 229 p.. - (Texts in statistical science) .ISBN: 978-1-58488-425-5

Langues : Anglais (eng)

Mots-clÃ©s : RÃ©sumÃ© : Books on regression and the analysis of variance abound-many are introductory, many are theoretical. While most of them do serve a purpose, the fact remains that data analysis cannot be properly learned without actually doing it, and this means using a statistical software package. There are many of these to choose from as well, all with their particular strengths and weaknesses. Lately, however, one such package has begun to rise above the others thanks to its free availability, its versatility as a programming language, and its interactivity. That software is R. In the first book that directly uses R to teach data analysis, Linear Models with R focuses on the practice of regression and analysis of variance. It clearly demonstrates the different methods available and more importantly, in which situations each one applies. It covers all of the standard topics, from the basics of estimation to missing data, factorial designs, and block designs, but it also includes discussion on topics, such as model uncertainty, rarely addressed in books of this type. The presentation incorporates an abundance of examples that clarify both the use of each technique and the conclusions one can draw from the results. All of the data sets used in the book are available for download from http://www.stat.lsa.umich.edu/~faraway/LMR/. The author assumes that readers know the essentials of statistical inference and have a basic knowledge of data analysis, linear algebra, and calculus. The treatment reflects his view of statistical theory and his belief that qualitative statistical concepts, while somewhat more difficult to learn, are just as important because they enable us to practice statistics rather than just talk about it. [RÃ©sumÃ© Ã©diteur] En ligne : http://books.google.fr/books?id=fvenzpofkagC&dq=linear+models+with+r&pg=PP1&ots= [...] ## Exemplaires (1)

Code-barres Cote Support Localisation Section DisponibilitÃ© 68137 FAR_11_68137 Livre Salle des ouvrages 11_Mathématiques Sorti jusqu'au 25/05/2043

Titre : The R book Type de document : livre Auteurs : Michael J. Crawley, Auteur Mention d'Ã©dition : 2nd ed. Editeur : Chichester, U.K. : Wiley AnnÃ©e de publication : 2013 Importance : 1051 p. ISBN/ISSN/EAN : 978-0-470-97392-9 Prix : 68.00 GBP Note gÃ©nÃ©rale : 2 ex.; Voir aussi la 1ère éd. de 2007 aux cotes 68177, 68339, 68367, 68469 et 68557/11 Langues : Anglais ( eng)Mots-clÃ©s : Analysis of variance Data analysis Non-linear regression R (Computer program language) Spatial statistics Statistical methods RÃ©sumÃ© : La 4Ã¨me de couv. indique : Hugely successful and popular text presenting an extensive and comprehensive guide for all R users

The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research.

This edition:

*Features full colour text and extensive graphics throughout.

*Introduces a clear structure with numbered section headings to help readers locate information more efficiently.

*Looks at the evolution of R over the past five years.

*Features a new chapter on Bayesian Analysis and Meta-Analysis.

*Presents a fully revised and updated bibliography and reference section.

*Is supported by an accompanying website allowing examples from the text to be run by the user.Note de contenu : Download all the Executable text files (a bundle of 268 small text files) : http://www.bio.ic.ac.uk/research/mjcraw/therbook/index.htm En ligne : https://www.wiley.com/en-gb/The+R+Book%2C+2nd+Edition-p-9780470973929 The R book [livre] / Michael J. Crawley, Auteur . - 2nd ed. . - Chichester, U.K. : Wiley, 2013 . - 1051 p.ISBN: 978-0-470-97392-9 : 68.00 GBP

2 ex.; Voir aussi la 1ère éd. de 2007 aux cotes 68177, 68339, 68367, 68469 et 68557/11

Langues : Anglais (eng)

Mots-clÃ©s : Analysis of variance Data analysis Non-linear regression R (Computer program language) Spatial statistics Statistical methods RÃ©sumÃ© : La 4Ã¨me de couv. indique : Hugely successful and popular text presenting an extensive and comprehensive guide for all R users

The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research.

This edition:

*Features full colour text and extensive graphics throughout.

*Introduces a clear structure with numbered section headings to help readers locate information more efficiently.

*Looks at the evolution of R over the past five years.

*Features a new chapter on Bayesian Analysis and Meta-Analysis.

*Presents a fully revised and updated bibliography and reference section.

*Is supported by an accompanying website allowing examples from the text to be run by the user.Note de contenu : Download all the Executable text files (a bundle of 268 small text files) : http://www.bio.ic.ac.uk/research/mjcraw/therbook/index.htm En ligne : https://www.wiley.com/en-gb/The+R+Book%2C+2nd+Edition-p-9780470973929 ## Exemplaires (2)

Code-barres Cote Support Localisation Section DisponibilitÃ© 69720 CRA_11_69720 Livre Salle des ouvrages 11_Mathématiques Sorti jusqu'au 25/05/204369746 CRA_11_69746 Livre Salle des ouvrages 11_Mathématiques Sorti jusqu'au 13/08/2049

Titre : Statistical methods for rates and proportions Type de document : livre Auteurs : Fleiss, J.L. ; Levin, B. ; Paik, M.C. Mention d'Ã©dition : 03 Ã©d. Editeur : Hoboken, New Jersey, USA : Wiley AnnÃ©e de publication : 2003 Collection : Wiley series in probability and statistics Importance : 760 p. ISBN/ISSN/EAN : 978-0-471-52629-2 Note gÃ©nÃ©rale : Inventaire 2007: Pointé en rayon Langues : Anglais ( eng)Mots-clÃ©s : Analysis of variance Biometry Sampling Statistical methods RÃ©sumÃ© : In the two decades since the second edition of Statistical Methods for Rates and Proportions was published, evolving technologies and new methodologies have significantly changed the way today's statistics are viewed and handled. The explosive development of personal computing and statistical software has facilitated the sophisticated analysis of data, putting capabilities that were once the domain of specialists into the hands of every researcher. The Third Edition of this important text addresses these changes and brings the literature up to date. While the previous edition focused on the use of desktop and handheld calculators, the new edition takes full advantage of modern computing power without losing the elegant simplicity that made the text so popular with students and practitioners alike. In authoritative yet clear terminology, the authors have brought the science of data analysis up to date without compromising its accessibility. [RÃ©sumÃ© Ã©diteur] Note de contenu : Hbk; En ligne : http://www.loc.gov/catdir/toc/wiley031/2002191005.html Statistical methods for rates and proportions [livre] / Fleiss, J.L. ; Levin, B. ; Paik, M.C. . - 03 Ã©d. . - Hoboken, New Jersey, USA : Wiley, 2003 . - 760 p.. - (Wiley series in probability and statistics) .ISBN: 978-0-471-52629-2

Inventaire 2007: Pointé en rayon

Langues : Anglais (eng)

Mots-clÃ©s : Analysis of variance Biometry Sampling Statistical methods RÃ©sumÃ© : In the two decades since the second edition of Statistical Methods for Rates and Proportions was published, evolving technologies and new methodologies have significantly changed the way today's statistics are viewed and handled. The explosive development of personal computing and statistical software has facilitated the sophisticated analysis of data, putting capabilities that were once the domain of specialists into the hands of every researcher. The Third Edition of this important text addresses these changes and brings the literature up to date. While the previous edition focused on the use of desktop and handheld calculators, the new edition takes full advantage of modern computing power without losing the elegant simplicity that made the text so popular with students and practitioners alike. In authoritative yet clear terminology, the authors have brought the science of data analysis up to date without compromising its accessibility. [RÃ©sumÃ© Ã©diteur] Note de contenu : Hbk; En ligne : http://www.loc.gov/catdir/toc/wiley031/2002191005.html ## Exemplaires (1)

Code-barres Cote Support Localisation Section DisponibilitÃ© 67586 Fle_11_67586 Livre Salle des ouvrages 11_Mathématiques DisponiblePermalinkBayesian statistics: an introduction / Peter M. Lee (1997)

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