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.
發表於2024-11-27
Nonparametric Regression and Spline Smoothing 2024 pdf epub mobi 電子書 下載
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Nonparametric Regression and Spline Smoothing 2024 pdf epub mobi 電子書 下載