Nonparametric Regression and Spline Smoothing

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.