Regression Models

Ludwig Fahrmeir, Thomas Kneib, Stefan Lang and Brian Marx
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Ludwig Fahrmeir: University of Munich, Department of Statistics
Thomas Kneib: University of Göttingen, Chair of Statistics
Stefan Lang: University of Innsbruck, Department of Statistics
Brian Marx: Louisiana State University, Experimental Statistics

Chapter 2 in Regression, 2013, pp 21-72 from Springer

Abstract: Abstract All case studies that have been discussed in Chap. 1 have one main feature in common: We aim at modeling the effect of a given set of explanatory variables $$x_{1},\ldots ,x_{k}$$ on a variable y of primary interest. The variable of primary interest y is called response or dependent variable and the explanatory variables are also called covariates, independent variables, or regressors.

Keywords: Linear Regression Model; Quantile Regression; Multiple Linear Regression Model; Living Area; Simple Linear Regression Model (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-34333-9_2

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DOI: 10.1007/978-3-642-34333-9_2

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