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
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Subjects: Statistics.; Epidemiology.; Bioinformatics.; Statistical methods.; Mathematical statistics.; Economics > Statistics.; Econometrics.; Statistics for Business/Economics/Mathematical Finance/Insurance.; Statistical Theory and Methods.; Biostatistics.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-34333-9

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.