Abstract
Simply speaking, a regression problem is a way to determine a function \(\hat m( \bullet )\) describing a functional relation \(m( \bullet )\) between a p-dimensional variable \(X = ({X_1},...,{X_p})\) and an output variable Y
, where \(\varepsilon \) is a random error term.
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© 2000 Springer-Verlag Berlin Heidelberg
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Aßmus, J. (2000). Regression Methods. In: XploRe — Learning Guide. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60232-0_4
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DOI: https://doi.org/10.1007/978-3-642-60232-0_4
Publisher Name: Springer, Berlin, Heidelberg
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