Regression : Models, Methods and Applications
The aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal basis, and their appropriate application is shown th...
में बचाया:
| मुख्य लेखकों: | , , , |
|---|---|
| स्वरूप: | Livre numérique |
| भाषा: | Anglais |
| प्रकाशित: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2013.
Cham : Springer Nature |
| ऑनलाइन पहुंच: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| टिप्पणी: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Regression, Texte imprimé, 9783642343346 • Regression, Texte imprimé, 9783642433764 • Regression, Texte imprimé, 9783662649077 • Regression, models, methods and applications, Ludwig Fahrmeir, Thomas Kneib, Stefan Lang,...[et al.], Berlin, Springer, 2013, 1 vol. (XIV-698 p.), 978-3-642-34332-2 |
विषय - सूची:
- Introduction
- Regression Models
- The Classical Linear Model
- Extensions of the Classical Linear Model
- Generalized Linear Models
- Categorical Regression Models
- Mixed Models
- Nonparametric Regression
- Structured Additive Regression
- Quantile Regression
- A Matrix Algebra
- B Probability Calculus and Statistical Inference
- Bibliography
- Index.