Ray surajit (14 risultati)
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Da: Books From California, Simi Valley, CA, U.S.A.Books From California
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. pp. 88.
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- Edizione Internazionale
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.Romtrade Corp.
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Condizione: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be prin…ted on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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Da: SMASS Sellers, IRVING, TX, U.S.A.SMASS Sellers
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Condizione: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 88 pages. 9.06x7.09x1.18 inches. In Stock.
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Clustering, Cluster Inference and Applications in Clustering | Applications to the Analysis of Gene Expression Data | Surajit Ray | Taschenbuch | 184 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845423623 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42…, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Multivariate mixture models provide a convenient method of density estimation and model based clustering as well as providing possible explanations for the actual data generation process. But the problem of choosing the number of c…omponents in a statistically meaningful way is still a subject of considerable research. Available methods for estimation include, optimizing AIC and BIC, estimating the number through nonparametric maximum likelihood, hypothesis testing and Bayesian approaches with entropy distances. In our book we present several rules for selecting a finite mixture model, based on estimation and inference using a quadratic distance measure. In this book we also develop tools for determining the number of modes in a mixture of multivariate normal densities. We use these criterion to select clusters which display distinct modes. Finally we fine tune our methods to analyze gene-expression data from micro-arrays, and compare them with other competitive methods. 184 pp. Englisch.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ray SurajitSurajit Ray is an assistant professor of Statistics in the Department of Mathematics and Statistics at Boston University. His research interests are in the area of statistical model selectio…n, the theory and geometry of mi.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 59,00
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Multivariate mixture models provide a convenient method of density estimation and model based clustering as well as providing possible explanations for the actual data generationprocess. But the problem of choosing the number of compon…ents in a statistically meaningful way isstill a subject of considerable research. Available methods for estimationinclude, optimizing AIC and BIC, estimating the number through nonparametric maximum likelihood, hypothesis testing and Bayesian approaches with entropy distances. In our book we present several rules for selecting afinite mixture model, based on estimation and inference using a quadratic distance measure.In this book we also develop tools for determining the number of modes in a mixture of multivariate normal densities. We use these criterion to select clusters which display distinct modes. Finally we fine tune our methods to analyze gene-expression data from micro-arrays, and compare them with other competitive methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Multivariate mixture models provide a convenient method of density estimation and model based clustering as well as providing possible explanations for the actual data generation process. But the problem of choosing the number of compon…ents in a statistically meaningful way is still a subject of considerable research. Available methods for estimation include, optimizing AIC and BIC, estimating the number through nonparametric maximum likelihood, hypothesis testing and Bayesian approaches with entropy distances. In our book we present several rules for selecting a finite mixture model, based on estimation and inference using a quadratic distance measure. In this book we also develop tools for determining the number of modes in a mixture of multivariate normal densities. We use these criterion to select clusters which display distinct modes. Finally we fine tune our methods to analyze gene-expression data from micro-arrays, and compare them with other competitive methods.
