3 recherche sur le mot-clé 'Computer software'   

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

Mixed-effects models in S and S-PLUS / Pinheiro, J.C. ; Bates, D.M. (2004)

Public ISBD 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

Statistics for ecologists using R and Excel: data collection, exploration, analysis and presentation / Mark Gardener (2017)  

Public ISBD Titre : Statistics for ecologists using R and Excel: data collection, exploration, analysis and presentation Type de document : livre Auteurs : Mark Gardener, Auteur Mention d'édition : 2nd ed. Editeur : Exeter : Pelagic Publishing Année de publication : 2017 Collection : Data in the wild series Importance : 404 p. ISBN/ISSN/EAN : 978-1-78427-139-8 Prix : 41.21 EUR Langues : Anglais (eng) Mots-clés : Statistical methods  Data analysis  R (Computer program language)  Microsoft Excel (Computer file)  Computer software  Research  Ecology En ligne : https://pelagicpublishing.com/ Statistics for ecologists using R and Excel: data collection, exploration, analysis and presentation [livre] / Mark Gardener, Auteur  . -  2nd ed. . - Exeter : Pelagic Publishing, 2017 . - 404 p.. - (Data in the wild series) . ISBN : 978-1-78427-139-8 : 41.21 EUR Langues : Anglais (eng) Mots-clés : Statistical methods  Data analysis  R (Computer program language)  Microsoft Excel (Computer file)  Computer software  Research  Ecology En ligne : https://pelagicpublishing.com/

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69435	GAR_11_69435	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 25/05/2043