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This book surveys the uses of smoothing methods in statistics. The coverage hasan applied focus and is very broad including simple and complex univariateand multivariate density estimation nonparametric regression estimationcategorical data smoothing and applications of smoothing to other areas ofstatistics. The book will be of particular interest to data analysts asarguments generally proceed from actual data rather than statistical theory.The Background Material sections will interest statisticians studying thearea of smoothing methods. The list of over 750 references allows researchersto find the original sources for more details. The Computational Issuessections provide sources for statistical software that implements the discussedmethods including both commercial and noncommercial sources. The book canalso be used as a textbook for a course in smoothing. Each chapter includesexercises with a heavily computational focus based upon the data sets used inthe book. It is an excellent reference to the field and has no rival in termsof accessibility coverage and utility.Journal of the American StatisticalAssociation This book provides an excellent overview of smoothing methods andconcepts presenting material in an intuitive manner with many interestinggraphics...This book provides a handy reference for practicing statisticiansand other data analysts. In addition it is well organized as a classroomtextbook. Technometrics «
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