Abstract
Nonparametric smoothing methods serve several needs in statistical data analysis: They provide a flexible analysis tool, often based on interactive graphical data representation. Also, they help in constructing a model from observations, for example by graphical comparison with already existing models.
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Müller, M. (2000). Smoothing Methods. In: XploRe — Learning Guide. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60232-0_6
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DOI: https://doi.org/10.1007/978-3-642-60232-0_6
Publisher Name: Springer, Berlin, Heidelberg
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