ABSTRACT

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 co

chapter 1|26 pages

Introduction

chapter 2|44 pages

What Is a Good Estimator?

chapter 3|84 pages

Series Estimators

chapter 4|72 pages

1Introduction

chapter 5|64 pages

1Introduction

chapter 6|20 pages

Least-Squares Splines