Regression Models, Methods and Applications /

• Κύριοι συγγραφείς: Fahrmeir, Ludwig (Συγγραφέας), Kneib, Thomas (Συγγραφέας), Lang, Stefan (Συγγραφέας), Marx, Brian (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Θέματα: Statistics.; Epidemiology.; Biostatistics.; Econometrics.; Statistics for Business/Economics/Mathematical Finance/Insurance.; Statistical Theory and Methods.; Statistics, general.

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...

Πίνακας περιεχομένων:

• 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.