Regression

Ludwig Fahrmeir (), Thomas Kneib (), Stefan Lang () and Brian D. Marx ()
Additional contact information
Ludwig Fahrmeir: LMU Munich, Institute of Statistics
Thomas Kneib: University of Göttingen, Statistics and Econometrics
Stefan Lang: University of Innsbruck, Department of Statistics
Brian D. Marx: Louisiana State University

in Springer Books from Springer

Date: 2021
Edition: 2nd ed. 2021
ISBN: 978-3-662-63882-8
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Chapters in this book:

Ch 11 Correction to: Regression

Ludwig Fahrmeir, Thomas Kneib, Stefan Lang and Brian D. Marx

Ch Chapter 1 Introduction

Ludwig Fahrmeir, Thomas Kneib, Stefan Lang and Brian D. Marx

Ch Chapter 10 Distributional Regression Models

Ludwig Fahrmeir, Thomas Kneib, Stefan Lang and Brian D. Marx

Ch Chapter 2 Regression Models

Ludwig Fahrmeir, Thomas Kneib, Stefan Lang and Brian D. Marx

Ch Chapter 3 The Classical Linear Model

Ludwig Fahrmeir, Thomas Kneib, Stefan Lang and Brian D. Marx

Ch Chapter 4 Extensions of the Classical Linear Model

Ludwig Fahrmeir, Thomas Kneib, Stefan Lang and Brian D. Marx

Ch Chapter 5 Generalized Linear Models

Ludwig Fahrmeir, Thomas Kneib, Stefan Lang and Brian D. Marx

Ch Chapter 6 Categorical Regression Models

Ludwig Fahrmeir, Thomas Kneib, Stefan Lang and Brian D. Marx

Ch Chapter 7 Mixed Models

Ludwig Fahrmeir, Thomas Kneib, Stefan Lang and Brian D. Marx

Ch Chapter 8 Nonparametric Regression

Ludwig Fahrmeir, Thomas Kneib, Stefan Lang and Brian D. Marx

Ch Chapter 9 Structured Additive Regression

Ludwig Fahrmeir, Thomas Kneib, Stefan Lang and Brian D. Marx

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DOI: 10.1007/978-3-662-63882-8

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