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Provides a unified account of the most popular approaches to nonparametric regression smoothing. This edition contains discussions of boundary corrections for t

Nonparametric Regression and Generalized Linear Models focuses on the roughness penalty method of nonparametric smoothing and shows how this technique provides

Spline Regression Models shows how to use dummy variables to formulate and estimate spline regression models both in situations where the number and location of

This book serves well as an introduction into the more theoretical aspects of the use of spline models. It develops a theory and practice for the estimation of