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Advances in Complex Data Modeling and Computational Methods in Statistics (Contributions to Statistics) - Hardcover
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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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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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- VerlagSpringer
- Erscheinungsdatum2014
- ISBN 10 3319111485
- ISBN 13 9783319111483
- EinbandTapa dura
- SpracheEnglisch
- Anzahl der Seiten220
- HerausgeberPaganoni Anna Maria, Secchi Piercesare
- Kontakt zum HerstellerNicht verfügbar
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Advances in Complex Data Modeling and Computational Methods in Statistics
Verlag:
Springer International Publishing, 2014
ISBN 10: 3319111485
ISBN 13: 9783319111483
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Hardcover
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 220 | Sprache: Englisch | Produktart: Bücher. Bestandsnummer des Verkäufers 24911006/2
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Advances in Complex Data Modeling and Computational Methods in Statistics.
Verlag:
Cham, Springer International Publishing., 2015
ISBN 10: 3319111485
ISBN 13: 9783319111483
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Hardcover
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235 mm x 155 mm. viii, 209 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Contributions to Statistics. Sprache: Englisch. Bestandsnummer des Verkäufers 4951IB
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Advances in Complex Data Modeling and Computational Methods in Statistics
Verlag:
Springer International Publishing, 2014
ISBN 10: 3319111485
ISBN 13: 9783319111483
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Gebunden. Zustand: 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. Bestandsnummer des Verkäufers 4498952
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Advances in Complex Data Modeling and Computational Methods in Statistics
ISBN 10: 3319111485
ISBN 13: 9783319111483
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Hardcover
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Buch. Zustand: 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. Bestandsnummer des Verkäufers 9783319111483
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Advances in Complex Data Modeling and Computational Methods in Statistics
Verlag:
Springer International Publishing, 2014
ISBN 10: 3319111485
ISBN 13: 9783319111483
Neu
Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: 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. Bestandsnummer des Verkäufers 9783319111483
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Advances in Complex Data Modeling and Computational Methods in Statistics
Verlag:
Springer International Publishing Nov 2014, 2014
ISBN 10: 3319111485
ISBN 13: 9783319111483
Neu
Hardcover
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Buch. Zustand: 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. Bestandsnummer des Verkäufers 9783319111483
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