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(Non) linear regression modelling

Cizek,P.
Abstract
We will study causal relationships of a known form between random variables. Given a model, we distinguish one or more dependent (endogenous) variables Y = (Y1,…,Yl), l ∈ N, which are explained by a model, and independent (exogenous, explanatory) variables X = (X1,…,Xp),p ∈ N, which explain or predict the dependent variables by means of the model. Such relationships and models are commonly referred to as regression models.
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Date
2012
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Publisher
Springer Verlag
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Tilburg University Research Output Collection
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Citation
Cizek, P 2012, (Non) linear regression modelling. in J E Gentle, W K Hardle & Y Mori (eds), Handbook of Computational Statistics - 2nd Edition. Springer Verlag, Heidelberg, pp. 645-680.
URI
https://hdl.handle.net/20.500.14602/17608
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