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.
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Fahrmeir, L., Kneib, T., Lang, S., Marx, B. (2013). Regression Models. In: Regression. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34333-9_2
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DOI: https://doi.org/10.1007/978-3-642-34333-9_2
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