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.

Weitere Produkte vom selben Autor

Statistical Computing in C++ and R Eubank, Randall L, Kupresanin, Ana

129,50 €*
A Kalman Filter Primer Eubank, Randall L.

95,80 €*
A Kalman Filter Primer Eubank, Randall L

88,00 €*