Spline smoothing

    Research output: Chapter in Book/Conference paperChapter

    Abstract

    Over the past few decades, several methods for fitting smooth curves to data have been proposed and intensively studied. Among these methods are kernel smoothers, orthogonal series estimators, wavelet smoothers, and spline smoothers. This entry provides a brief description of the commonly used spline smoothers – regression splines, smoothing splines, and penalized splines.
    Original languageEnglish
    Title of host publicationWiley StatsRef: Statistics Reference Online
    PublisherJohn Wiley & Sons
    Pages1-8
    Number of pages8
    ISBN (Electronic)9781118445112
    DOIs
    Publication statusPublished - 15 Feb 2016

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  • Cite this

    Turlach, B. (2016). Spline smoothing. In Wiley StatsRef: Statistics Reference Online (pp. 1-8). John Wiley & Sons. https://doi.org/10.1002/9781118445112.stat05037.pub2