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.
General
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