32 recherche sur le mot-clé 'Statistics'   

Statistics: an introduction using R / Michael J. Crawley (2005)  

Public ISBD Titre : Statistics: an introduction using R Type de document : livre Auteurs : Michael J. Crawley, Auteur Editeur : Chichester, U.K. : Wiley Année de publication : 2005 Importance : 327 p. ISBN/ISSN/EAN : 978-0-470-02298-6 Note générale : ISBN-10 : 0-470-02298-1; Reprinted August 2005 Langues : Anglais (eng) Mots-clés : Computer software  Data analysis  R (Computer program language)  Statistical methods  Statistics  Textbook Résumé : Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. * Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. * Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. * The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. * Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. * Includes numerous worked examples and exercises within each chapter. En ligne : https://www.wiley.com/en-us/Statistics:+An+Introduction+Using+R,+2nd+Edition-p-9 [...] Statistics: an introduction using R [livre] / Michael J. Crawley, Auteur . - Chichester, U.K. : Wiley, 2005 . - 327 p. ISBN : 978-0-470-02298-6 ISBN-10 : 0-470-02298-1; Reprinted August 2005 Langues : Anglais (eng) Mots-clés : Computer software  Data analysis  R (Computer program language)  Statistical methods  Statistics  Textbook Résumé : Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. * Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. * Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. * The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. * Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. * Includes numerous worked examples and exercises within each chapter. En ligne : https://www.wiley.com/en-us/Statistics:+An+Introduction+Using+R,+2nd+Edition-p-9 [...]

Exemplaires (2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
67689	CRA_11_67689	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 03/07/2049
67788	CRA_11_67788	Livre	Salle des ouvrages	11_Mathématiques	Disponible

Statistics for environmental science and management / MANLY, B.F.J. (2001)  

Public ISBD Titre : Statistics for environmental science and management Type de document : livre Auteurs : MANLY, B.F.J. Editeur : Boca Raton, Florida : Chapman & Hall/CRC Année de publication : 2001 Importance : 326 p. ISBN/ISSN/EAN : 978-1-58488-029-5 Note générale : Voir aussi la 2eme ed. à la cote 68871/11 Langues : Anglais (eng) Mots-clés : Environmental management  Management  Methods  Science  Statistical methods  Statistics Résumé : The use of appropriate statistical methods is essential when working with environmental data. Yet, many environmental professionals are not statisticians. A ready reference guide to the most common methods used in environmental applications, Statistics for Environmental Science and Management introduces the statistical methods most frequently used by environmental scientists, managers, and students. Using a non-mathematical approach, the author describes techniques such as: environmental monitoring, impact assessment, assessing site reclamation, censored data, and Monte Carlo risk assessment, as well as the key topics of time series and spatial data. The book shows the strengths of different types of conclusions available from statistical analyses. It contains internet sources of information that give readers access to the latest information on specific topics. The author's easy to understand style makes the subject matter accessible to anyone with a rudimentary knowledge of the basics of statistics while emphasizing how the techniques are applied in the environmental field. [Résumé éditeur] En ligne : http://books.google.com/books?id=5uZ-aG6FxbQC&printsec=frontcover&hl=fr Statistics for environmental science and management [livre] / MANLY, B.F.J. . - Boca Raton, Florida : Chapman & Hall/CRC, 2001 . - 326 p. ISBN : 978-1-58488-029-5 Voir aussi la 2eme ed. à la cote 68871/11 Langues : Anglais (eng) Mots-clés : Environmental management  Management  Methods  Science  Statistical methods  Statistics Résumé : The use of appropriate statistical methods is essential when working with environmental data. Yet, many environmental professionals are not statisticians. A ready reference guide to the most common methods used in environmental applications, Statistics for Environmental Science and Management introduces the statistical methods most frequently used by environmental scientists, managers, and students. Using a non-mathematical approach, the author describes techniques such as: environmental monitoring, impact assessment, assessing site reclamation, censored data, and Monte Carlo risk assessment, as well as the key topics of time series and spatial data. The book shows the strengths of different types of conclusions available from statistical analyses. It contains internet sources of information that give readers access to the latest information on specific topics. The author's easy to understand style makes the subject matter accessible to anyone with a rudimentary knowledge of the basics of statistics while emphasizing how the techniques are applied in the environmental field. [Résumé éditeur] En ligne : http://books.google.com/books?id=5uZ-aG6FxbQC&printsec=frontcover&hl=fr

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
66603	MAN_11_66603	Livre	Salle des ouvrages	11_Mathématiques	Disponible

Statistics and ornithology / Gopal K. Kanji (1995)  

Public ISBD Titre : Statistics and ornithology Type de document : revue Auteurs : Gopal K. Kanji, Éditeur scientifique Editeur : Abingdon, UK : Carfax Publishing Année de publication : 1995 Collection : Journal of Applied Statistics, ISSN 0266-4763 num. 22 (5-6) Importance : 1290 p. Note générale : ISSN : 0266-4763; Journal of Applied Statistics, vol. 22, n° 5-6, special issue "Statistics and ornithology" Langues : Anglais (eng) Mots-clés : Statistics  Ornithology En ligne : https://www.tandfonline.com/toc/cjas20/22/5-6?nav=tocList Statistics and ornithology [revue] / Gopal K. Kanji, Éditeur scientifique . - Abingdon, UK : Carfax Publishing, 1995 . - 1290 p.. - (Journal of Applied Statistics, ISSN 0266-4763; 22 (5-6)) . ISSN : 0266-4763; Journal of Applied Statistics, vol. 22, n° 5-6, special issue "Statistics and ornithology" Langues : Anglais (eng) Mots-clés : Statistics  Ornithology En ligne : https://www.tandfonline.com/toc/cjas20/22/5-6?nav=tocList

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69850	KAN_11_69850	Revue	Salle des ouvrages	11_Mathématiques	Disponible

Modern applied statistics with S / Venables, W.N. (2002)

Public ISBD 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

Stata multivariate statistics reference manual: release 10 / StataCorp (2007)  

Public ISBD Titre : Stata multivariate statistics reference manual: release 10 Type de document : livre Auteurs : StataCorp Editeur : College Station, Texas : StataCorp LP Année de publication : 2007 Importance : 621 p. ISBN/ISSN/EAN : 978-1-59718-029-0 Note générale : Inventaire 2008: Pointé et emprunté le 02/04/2008 Langues : Anglais (eng) Mots-clés : Multivariate analysis  Stata  Statistics Note de contenu : Pbk; En ligne : http://www.stata.com/bookstore/mv.html Stata multivariate statistics reference manual: release 10 [livre] / StataCorp . - College Station, Texas : StataCorp LP, 2007 . - 621 p. ISBN : 978-1-59718-029-0 Inventaire 2008: Pointé et emprunté le 02/04/2008 Langues : Anglais (eng) Mots-clés : Multivariate analysis  Stata  Statistics Note de contenu : Pbk; En ligne : http://www.stata.com/bookstore/mv.html

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
68266	Sta_11_68266	Livre	Salle des ouvrages	11_Mathématiques	Disponible

Computational statistics / Givens, G.H ; Hoeting, J.A. (2005)  

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Computational statistics handbook with MATLAB / MARTINEZ, W.L. ; MARTINEZ, A.R. (2002)

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Teaching statistics: a bag of tricks / Gelman, A. ; Nolan, D. (2002)  

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Matrix differential calculus with applications in statistics and econometrics / MAGNUS, J.R. ; NEUDECKER, H. (1999)

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Density estimation for statistics and data analysis / SILVERMAN, B.W. (1998)

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