A Modern approach to regression with R
A Modern Approach to Regression with R focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. The regression output and plots tha...
Wedi'i Gadw mewn:
| Prif Awdur: | |
|---|---|
| Fformat: | Livre numérique |
| Iaith: | Anglais |
| Cyhoeddwyd: |
New York, NY :
Springer New York
2009.
Cham : Springer Nature |
| Cyfres: | Springer Texts in Statistics
|
| Pynciau: | |
| Mynediad Ar-lein: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nodyn: |
L'impression du document génère 392 p. Description d'après consultation du 08 juin2011 Titre provenant de l'écran-titre Numerisation de l'édition de : [s.l.] : Springer science + Business Media. 2009 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • A Modern approach to regression with R, Simon J. Sheather, 2009, [New York], Springer, 1 vol. (XIV-392 p.), Springer texts in statistics, 978-0-387-09607-0 |
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| 008 | 090420s2009 xxe ||| |||| 00| 0 eng d | ||
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| 020 | |z 9780387096087 | ||
| 041 | 0 | |a eng | |
| 082 | |a 519.2 | ||
| 084 | |a 62-XX. 2010 | ||
| 084 | |a 62Jxx. 2010 | ||
| 084 | |a 62J05. 2010 | ||
| 100 | 1 | |a Sheather, Simon J., |d 19..- | |
| 245 | 1 | 0 | |a A Modern approach to regression with R |c by Simon Sheather. |
| 256 | |a Données textuelles | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c 2009. | ||
| 490 | 1 | |a Springer Texts in Statistics |x 1431-875X | |
| 500 | |a L'impression du document génère 392 p. | ||
| 500 | |a Description d'après consultation du 08 juin2011 | ||
| 500 | |a Titre provenant de l'écran-titre | ||
| 500 | |a Numerisation de l'édition de : [s.l.] : Springer science + Business Media. 2009 | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Bibliogr. Index | ||
| 505 | 1 | |a Simple Linear Regression Diagnostics and Transformations for Simple Linear Regression Weighted Least Squares Multiple Linear Regression Diagnostics and Transformations for Multiple Linear Regression Variable Selection Logistic Regression Serially Correlated Errors Mixed Models. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a A Modern Approach to Regression with R focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. The regression output and plots that appear throughout the book have been generated using R. On the book website you will find the R code used in each example in the text. You will also find SAS-code and STATA-code to produce the equivalent output on the book website. Primers containing expanded explanations of R, SAS and STATA and their use in this book are also available on the book website. The book contains a number of new real data sets from applications ranging from rating restaurants, rating wines, predicting newspaper circulation and magazine revenue, comparing the performance of NFL kickers, and comparing finalists in the Miss America pageant across states. One of the aspects of the book that sets it apart from many other regression books is that complete details are provided for each example. The book is aimed at first year graduate students in statistics and could also be used for a senior undergraduate class. Simon Sheather is Professor and Head of the Department of Statistics at Texas A&M University. Professor Sheather s research interests are in the fields of flexible regression methods and nonparametric and robust statistics. He is a Fellow of the American Statistical Association and listed on ISIHighlyCited.com. | ||
| 538 | |a Nécessite un lecteur de fichier PDF | ||
| 650 | |a Statistique |x Méthodologie | ||
| 650 | |a Analyse de régression |x Étude et enseignement | ||
| 776 | 0 | |0 134143388 |t A Modern approach to regression with R |f Simon J. Sheather |d 2009 |c [New York] |n Springer |p 1 vol. (XIV-392 p.) |s Springer texts in statistics |z 978-0-387-09607-0 | |
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| 997 | |0 941261 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||