Nonparametric Regression and Spline Smoothing

Delve into the world of nonparametric regression with Nonparametric Regression and Spline Smoothing by Randall L. Eubank. Published by Taylor & Francis Inc in 1999, this comprehensive 2nd edition spans 360 pages and offers an insightful exploration of key methodologies in nonparametric statistics. Eubank expertly covers popular approaches to regression smoothing, including boundary corrections for trigonometric series estimators, asymptotic behavior in polynomial regression, and techniques for testing goodness-of-fit. Additionally, the book addresses estimation in partially linear models and provides practical solutions for constructing confidence intervals and bands. This essential resource is ideal for anyone looking to deepen their understanding of applied mathematics and approximation theory, making it a must-have for students and professionals alike.