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9781282236899

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From the reviews: A highly readable and appealing book In a world of dry prose, this book is a refreshing change The book is enjoyable to read, which alone merits praise. Journal of the American Statistical Association This is a theoretical work, but the authors always keep the practical aspect in mind. Algorithmic issues are treated with great care. In fact, very interesting chapters, demonstrating the main techniques at work on simulated and real data, complement the theoretical treatment. The monograph is highly recommended for teaching advanced courses on nonparametric statistics. This book is a must for anyone who is serious about nonparametric curve estimation. SIAM Reviews The basic tools needed are introduced in the book itself, proofs are complete, partly using the many exercises which are added. The text contains an impressive list of references. the variety of ideas and approaches is also an advantage of the book since one can learn quite different approaches and techniques from it. Even specialists may find some new aspects. Certainly the book belongs to the bookshelf of researchers and advanced students being interested in the subject. (Ulrich Stadtm ller, Metrika, July, 2003) Throughout the book, applications and the practical performance of the theoretical results are studied. The book provides a good and up-to-date introduction to nonparametric density estimation. One of its main strengths is giving overviews and motivations of the general ideas before moving on to the technicalities. This, together with the in-action chapters, makes it an excellent text-book for graduate students in statistics, as well as practitioners in the field. (Pia Veldt Larsen, Journal of the Royal Statistical Society Series A: Statistics in Society, Vol. 157 (2), 2004) The selection of important topics has been made with excellent taste. The authors entertaining style of writing, rare in mathematical texts, makes the book a pleasure to read. The authors are never a

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