The Classical Linear Model

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

Chapter Chapter 3 in Regression, 2021, pp 85-190 from Springer

Abstract: Abstract The following two chapters will focus on the theory and application of linear regression models, which play a major role in statistics. We already studied some examples in Sect. 2.2 . In addition to their direct application, linear regression models are also the basis of a variety of more complex regression methods. Examples are generalized linear models (Chap. 5 ), mixed models (Chap. 7 ), or semiparametric models (Chaps. 8 and 9 ).

Date: 2021
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DOI: 10.1007/978-3-662-63882-8_3

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