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Smoothing Methods

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XploRe — Learning Guide
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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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© 2000 Springer-Verlag Berlin Heidelberg

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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

  • Print ISBN: 978-3-540-66207-5

  • Online ISBN: 978-3-642-60232-0

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