Articles liés à Combinatorial Methods in Density Estimation
Synopsis
This book will be of interest to statistical researchers working in the area of nonparametric density estimation.
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Combinatorial Methods in Density Estimation
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Springer, 2001
ISBN 10 : 0387951172
ISBN 13 : 9780387951171
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Hardcover. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.95. N° de réf. du vendeur G0387951172I3N00
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Combinatorial Methods in Density Estimation
Edité par
Springer, 2001
ISBN 10 : 0387951172
ISBN 13 : 9780387951171
Ancien ou d'occasion
Couverture rigide
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Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 0.95. N° de réf. du vendeur G0387951172I4N00
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Combinatorial Methods in Density Estimation (Springer Series in Statistics)
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Springer, 2001
ISBN 10 : 0387951172
ISBN 13 : 9780387951171
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Hardcover. Etat : Bon. Ancien livre de bibliothèque. Edition 2001. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2001. Ammareal gives back up to 15% of this item's net price to charity organizations. N° de réf. du vendeur F-934-034
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Combinatorial Methods in Density Estimation (Springer Series in Statistics)
Edité par
Springer, 2001
ISBN 10 : 0387951172
ISBN 13 : 9780387951171
Ancien ou d'occasion
Couverture rigide
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Etat : Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. N° de réf. du vendeur Z1-B-017-02203
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Combinatorial Methods in Density Estimation
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Springer New York, 2001
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ISBN 13 : 9780387951171
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Density estimation has evolved enormously since the days of bar plots and histograms, but researchers and users are still struggling with the problem of the selection of the bin widths. This text explores a new paradigm for the data-based or automatic selec. N° de réf. du vendeur 5912343
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Combinatorial Methods in Density Estimation (Springer Series in Statistics)
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Combinatorial Methods in Density Estimation
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Springer New York Jan 2001, 2001
ISBN 10 : 0387951172
ISBN 13 : 9780387951171
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Density estimation has evolved enormously since the days of bar plots and histograms, but researchers and users are still struggling with the problem of the selection of the bin widths. This text explores a new paradigm for the data-based or automatic selection of the free parameters of density estimates in general so that the expected error is within a given constant multiple of the best possible error. The paradigm can be used in nearly all density estimates and for most model selection problems, both parametric and nonparametric. It is the first book on this topic. The text is intended for first-year graduate students in statistics and learning theory, and offers a host of opportunities for further research and thesis topics. Each chapter corresponds roughly to one lecture, and is supplemented with many classroom exercises. A one year course in probability theory at the level of Feller's Volume 1 should be more than adequate preparation. 224 pp. Englisch. N° de réf. du vendeur 9780387951171
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Combinatorial Methods in Density Estimation
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Combinatorial Methods in Density Estimation
Edité par
Springer New York, Springer US Jan 2001, 2001
ISBN 10 : 0387951172
ISBN 13 : 9780387951171
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. Neuware -Density estimation has evolved enormously since the days of bar plots and histograms, but researchers and users are still struggling with the problem of the selection of the bin widths. This text explores a new paradigm for the data-based or automatic selection of the free parameters of density estimates in general so that the expected error is within a given constant multiple of the best possible error. The paradigm can be used in nearly all density estimates and for most model selection problems, both parametric and nonparametric. It is the first book on this topic. The text is intended for first-year graduate students in statistics and learning theory, and offers a host of opportunities for further research and thesis topics. Each chapter corresponds roughly to one lecture, and is supplemented with many classroom exercises. A one year course in probability theory at the level of Feller's Volume 1 should be more than adequate preparation. Gabor Lugosi is Professor at Universitat Pompeu Fabra in Barcelona, and Luc Debroye is Professor at McGill University in Montreal. In 1996, the authors, together with Lászlo Györfi, published the successful text, A Probabilistic Theory of Pattern Recognition with Springer-Verlag. Both authors have made many contributions in the area of nonparametric estimation.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 224 pp. Englisch. N° de réf. du vendeur 9780387951171
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Combinatorial Methods in Density Estimation
Edité par
Springer New York, Springer US, 2001
ISBN 10 : 0387951172
ISBN 13 : 9780387951171
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Density estimation has evolved enormously since the days of bar plots and histograms, but researchers and users are still struggling with the problem of the selection of the bin widths. This text explores a new paradigm for the data-based or automatic selection of the free parameters of density estimates in general so that the expected error is within a given constant multiple of the best possible error. The paradigm can be used in nearly all density estimates and for most model selection problems, both parametric and nonparametric. It is the first book on this topic. The text is intended for first-year graduate students in statistics and learning theory, and offers a host of opportunities for further research and thesis topics. Each chapter corresponds roughly to one lecture, and is supplemented with many classroom exercises. A one year course in probability theory at the level of Feller's Volume 1 should be more than adequate preparation. Gabor Lugosi is Professor at Universitat Pompeu Fabra in Barcelona, and Luc Debroye is Professor at McGill University in Montreal. In 1996, the authors, together with Lászlo Györfi, published the successful text, A Probabilistic Theory of Pattern Recognition with Springer-Verlag. Both authors have made many contributions in the area of nonparametric estimation. N° de réf. du vendeur 9780387951171
Quantité disponible : 1 disponible(s)