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Nonparametric simple regression [electronic resource] : smoothing scatterplots / John Fox.

By: Fox, John, 1947-.
Material type: TextTextSeries: Sage university papers seriesQuantitative applications in the social sciences: no. 7-130.Publisher: Thousand Oaks, Calif. : Sage Publications, c2000Description: 1 online resource (viii, 83 p.) : ill.ISBN: 0585212260 (electronic bk.); 9780585212265 (electronic bk.); 9781412985307 (ebook); 1412985307 (ebook).Subject(s): Regression analysis | Nonparametric statistics | Social sciences -- Research -- Statistical methods | MATHEMATICS -- Probability & Statistics -- Regression Analysis | Electronic booksGenre/Form: Electronic books.Additional physical formats: Print version:: Nonparametric simple regression.DDC classification: 519.5/36 Online resources: EBSCOhost
Contents:
What is nonparametric regression? -- Binning and local averaging -- Kernel estimation -- Local polynomial regression -- Statistical inference for local-polynomial regression -- Splines -- Nonparametric regression and data analysis.
Summary: Nonparametric simple regression forms the basis for nonparametric multiple regression and directly supplies the building blocks for the type of nonparametric multiple regression called additive regression.
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Includes bibliographical references (p. 81-82).

What is nonparametric regression? -- Binning and local averaging -- Kernel estimation -- Local polynomial regression -- Statistical inference for local-polynomial regression -- Splines -- Nonparametric regression and data analysis.

Description based on print version record.

Nonparametric simple regression forms the basis for nonparametric multiple regression and directly supplies the building blocks for the type of nonparametric multiple regression called additive regression.

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Other editions of this work

Nonparametric simple regression by Fox, John, ©2000
Nonparametric simple regression by Fox, John, ©2000
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