Nonparametric regression and spline smoothing
Author(s)
Bibliographic Information
Nonparametric regression and spline smoothing
（Statistics : textbooks and monographs, v. 157）
Marcel Dekker, c1999
2nd ed
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Note
Bibliography: p. 311-334
Includes index
The first edition of this book was published as Spline smoothing and nonparametric regression(1988) -- t. p. verso
Description and Table of Contents
Description
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.
Table of Contents
- What is a good estimator?
- series estimators
- kernel estimators
- smoothing splines
- least-square splines.
by "Nielsen BookData"