Nonparametric and Semiparametric Models
This is another book by Professor Wolfgang Härdle and his colleagues on nonparametric statistics and smoothing. The unique feature of this book is the inclusion of topics on semi-parametric regression models for high-dimensional data. Minimum theory and numerical examples are covered in this book, which makes it mostly suitable for a course in nonparametric regression to graduate students. It will be useful for readers who would like to understand the statistical and mathematical principles and basic concepts and techniques of smoothing.