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Sinopsis
The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new developments for bootstrapping complex data; regression analysis for measuring the downsize reputational risk; statistical methods for research on the human genome dynamics; inference in non-euclidean settings and for shape data; Bayesian methods for reliability and the analysis of complex data; methodological issues in using administrative data for clinical and epidemiological research; regression models with differential regularization; geostatistical methods for mobility analysis through mobile phone data exploration. This volume is the result of a careful selection among the contributions presented at the conference "S.Co.2013: Complex data modeling and computationally intensive methods for estimation and prediction" held at the Politecnico di Milano, 2013. All the papers published here have been rigorously peer-reviewed.
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The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new developments for bootstrapping complex data; regression analysis for measuring the downsize reputational risk; statistical methods for research on the human genome dynamics; inference in non-euclidean settings and for shape data; Bayesian methods for reliability and the analysis of complex data; methodological issues in using administrative data for clinical and epidemiological research; regression models with differential regularization; geostatistical methods for mobility analysis through mobile phone data exploration. This volume is the result of a careful selection among the contributions presented at the conference "S.Co.2013: Complex data modeling and computationally intensive methods for estimation and prediction" held at the Politecnico di Milano, 2013. All the papers published here have been rigorously peer-reviewed.
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Advances in Complex Data Modeling and Computational Methods in Statistics (Contributions to Statistics)
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Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,450grams, ISBN:9783319385372. Nº de ref. del artículo: 9281937
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Advances in Complex Data Modeling and Computational Methods in Statistics
Publicado por
Springer International Publishing, 2016
ISBN 10: 3319385372
ISBN 13: 9783319385372
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Tapa blanda
Librería: Buchpark, Trebbin, Alemania
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 220 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 27118591/12
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Advances in Complex Data Modeling and Computational Methods in Statistics
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Springer International Publishing Aug 2016, 2016
ISBN 10: 3319385372
ISBN 13: 9783319385372
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new developments for bootstrapping complex data; regression analysis for measuring the downsize reputational risk; statistical methods for research on the human genome dynamics; inference in non-euclidean settings and for shape data; Bayesian methods for reliability and the analysis of complex data; methodological issues in using administrative data for clinical and epidemiological research; regression models with differential regularization; geostatistical methods for mobility analysis through mobile phone data exploration. This volume is the result of a careful selection among the contributions presented at the conference 'S.Co.2013: Complex data modeling and computationally intensive methods for estimation and prediction' held at the Politecnico di Milano, 2013. All the papers published here have been rigorously peer-reviewed. 220 pp. Englisch. Nº de ref. del artículo: 9783319385372
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Advances in Complex Data Modeling and Computational Methods in Statistics (Contributions to Statistics)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9783319385372_new
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Advances in Complex Data Modeling and Computational Methods in Statistics
Publicado por
Springer International Publishing, 2016
ISBN 10: 3319385372
ISBN 13: 9783319385372
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new developments for bootstrapping complex data; regression analysis for measuring the downsize reputational risk; statistical methods for research on the human genome dynamics; inference in non-euclidean settings and for shape data; Bayesian methods for reliability and the analysis of complex data; methodological issues in using administrative data for clinical and epidemiological research; regression models with differential regularization; geostatistical methods for mobility analysis through mobile phone data exploration. This volume is the result of a careful selection among the contributions presented at the conference 'S.Co.2013: Complex data modeling and computationally intensive methods for estimation and prediction' held at the Politecnico di Milano, 2013. All the papers published here have been rigorously peer-reviewed. Nº de ref. del artículo: 9783319385372
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Advances in Complex Data Modeling and Computational Methods in Statistics
Publicado por
Springer International Publishing, 2016
ISBN 10: 3319385372
ISBN 13: 9783319385372
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers numerous step-by-step tutorials to help the reader to learn quicklyA special chapter on next generation Flash prepares readers for the futureIncludes suggestions on how to protect flash sites from hackersThe book is addressed. Nº de ref. del artículo: 448749183
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Advances in Complex Data Modeling and Computational Methods in Statistics
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: 27232552-n
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Advances in Complex Data Modeling and Computational Methods in Statistics
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PF. Condición: New. Nº de ref. del artículo: 6666-IUK-9783319385372
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Advances in Complex Data Modeling and Computational Methods in Statistics
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Advances in Complex Data Modeling and Computational Methods in Statistics
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Springer International Publishing, Springer International Publishing Aug 2016, 2016
ISBN 10: 3319385372
ISBN 13: 9783319385372
Nuevo
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new developments for bootstrapping complex data; regression analysis for measuring the downsize reputational risk; statistical methods for research on the human genome dynamics; inference in non-euclidean settings and for shape data; Bayesian methods for reliability and the analysis of complex data; methodological issues in using administrative data for clinical and epidemiological research; regression models with differential regularization; geostatistical methods for mobility analysis through mobile phone data exploration. This volume is the result of a careful selection among the contributions presented at the conference 'S.Co.2013: Complex data modeling and computationally intensive methods for estimation and prediction' held at the Politecnico di Milano, 2013. All the papers published here have been rigorously peer-reviewed.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 220 pp. Englisch. Nº de ref. del artículo: 9783319385372
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