Kernel Smoothing explores both the theory and methods of kernel smoothing as well as introducing the fundamental methods and principles of related topics in parametric statistical inference. It addresses polynomials, with uncorrelated or i.i.d.
Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores theory and methods of kernel smoothing in a variety of contexts, considering independent and correla…
Comprehensive theoretical overview of kernel smoothing methods with motivating examples Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores theory and m…