Regression Models, Methods and Applications /

• Main Authors: Fahrmeir, Ludwig (Author), Kneib, Thomas (Author), Lang, Stefan (Author), Marx, Brian (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Subjects: 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...

Table of Contents:

• 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.