Randall L. Eubank

Nonparametric Regression and Spline Smoothing (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Provides a unified account of the most popular approaches to nonparametric regression smoothing. This edition contains discussions of boundary corrections for trigonometric series estimators; detailed asymptotics for polynomial regression; testing goodness-of-fit; estimation in partially linear models; practical aspects, problems and methods for confidence intervals and bands; local polynomial regression; and form and asymptotic properties of linear smoothing splines.

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Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 9. Februar 1999
• Englisch
• ISBN-13: 9781040075975
• Artikelnr.: 72531485

Autorenporträt

Randall L. Eubank

Inhaltsangabe

What is a good estimator?
series estimators
kernel estimators
smoothing splines
least-square splines.