Nonparametric Regression and Spline Smoothing, Second Edition (Statistics: A Series of Textbooks and Monographs) by Randall L. Eubank

by Randall L. Eubank

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.

Hardcover

First published February 9, 1999