Nonparametric Regression and Spline Smoothing

Discover the comprehensive insights of "Nonparametric Regression and Spline Smoothing," authored by experts in the field and published by Taylor & Francis Ltd in 2020. This second edition spans 360 pages and offers a unified exploration of the most popular methods in nonparametric regression smoothing.

Delve into critical discussions on boundary corrections for trigonometric series estimators, detailed asymptotics for polynomial regression, and the essential testing of goodness-of-fit. The book also addresses estimation in partially linear models, providing practical aspects, challenges, and methods for effective application.

Whether you're a student, researcher, or practitioner, this essential resource equips you with the knowledge and tools to enhance your understanding of nonparametric techniques. Don't miss the opportunity to elevate your statistical skills with this authoritative guide!