Nonparametric Regression and Spline Smoothing

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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.