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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.

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