Ludwig Fahrmeir / Brian D. Marx / Stefan Lang / Thomas Kneib
Regression
- Springer Berlin Heidelberg
- 2023
- Taschenbuch
- 768 Seiten
- ISBN 9783662638842
Now in its second edition, this textbook provides an applied and unified introduction to parametric, nonparametric 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 through numerous examples and case studies. The most important definitions and statements are concisely summarized in boxes, and the underlying data sets and code are available online on the book¿s dedicated website. Availability of (user-friendly) software has been a major criterion for the methods selected and presented. The chapters address the classical linear model and its extensions, generalized
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