Bayesian and frequentist regression methods
Bayesian and Frequentist Regression Methods provides a modern account of both Bayesian and frequentist methods of regression analysis. Many texts cover one or the other of the approaches, but this is the most comprehensive combination of Bayesian and frequentist methods that exists in one place. Th...
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| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2013. |
| Serie: | Springer Series in Statistics
|
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Bayesian and frequentist regression methods, Jon Wakefield, New York, Springer, 2013, 1 vol. (XIX-697 p.), Springer series in statistics, 978-1-441-90924-4 • Bayesian and Frequentist Regression Methods, Texte imprimé, 9781441909268 • Bayesian and Frequentist Regression Methods, Texte imprimé, 9781493938629 |
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| 020 | |a 9781441909251 | ||
| 020 | |a 9781441909251 | ||
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| 082 | |a 519.5 | ||
| 100 | 1 | |a Wakefield, Jon. | |
| 245 | 1 | 0 | |a Bayesian and frequentist regression methods |c by Jon Wakefield. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Series in Statistics |x 2197-568X | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Introduction Frequentist Inference Bayesian Inference Linear Models Binary Data Models General Regression 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 Bayesian and Frequentist Regression Methods provides a modern account of both Bayesian and frequentist methods of regression analysis. Many texts cover one or the other of the approaches, but this is the most comprehensive combination of Bayesian and frequentist methods that exists in one place. The two philosophical approaches to regression methodology are featured here as complementary techniques, with theory and data analysis providing supplementary components of the discussion. In particular, methods are illustrated using a variety of data sets. The majority of the data sets are drawn from biostatistics but the techniques are generalizable to a wide range of other disciplines. While the philosophy behind each approach is discussed, the book is not ideological in nature and an emphasis is placed on practical application. It is shown that, in many situations, careful application of the respective approaches can lead to broadly similar conclusions. To use this text, the reader requires a basic understanding of calculus and linear algebra, and introductory courses in probability and statistical theory. The book is based on the author's experience teaching a graduate sequence in regression methods. The book website contains all of the code to reproduce all of the analyses and figures contained in the book | ||
| 776 | 0 | |0 168441144 |t Bayesian and frequentist regression methods |f Jon Wakefield |c New York |n Springer |d 2013 |p 1 vol. (XIX-697 p.) |s Springer series in statistics |z 978-1-441-90924-4 | |
| 776 | 0 | |t Bayesian and Frequentist Regression Methods |b Texte imprimé |z 9781441909268 | |
| 776 | 0 | |t Bayesian and Frequentist Regression Methods |b Texte imprimé |z 9781493938629 | |
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| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-9SXNRNBT-B |z Accès sur la plateforme Istex | |
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