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Advances in Complex Data Modeling and Computational Methods in Statistics - Rilegato
Libro 21 di 36: Contributions to Statistics
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Advances in Complex Data Modeling and Computational Methods in Statistics (eng)
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Advances in Complex Data Modeling and Computational Methods in Statistics
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Springer International Publishing Nov 2014, 2014
ISBN 10: 3319111485
ISBN 13: 9783319111483
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Buch. Condizione: 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. Codice articolo 9783319111483
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Advances in Complex Data Modeling and Computational Methods.
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Advances in Complex Data Modeling and Computational Methods in Statistics
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Buch. Condizione: Neu. nach der Bestellung gedruckt 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. Codice articolo 9783319111483
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Advances in Complex Data Modeling and Computational Methods in Statistics
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Springer International Publishing, 2014
ISBN 10: 3319111485
ISBN 13: 9783319111483
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Gebunden. Condizione: 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. Codice articolo 4498952
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Advances in Complex Data Modeling and Computational Methods in Statistics
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Springer, Palgrave Macmillan Nov 2014, 2014
ISBN 10: 3319111485
ISBN 13: 9783319111483
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 220 pp. Englisch. Codice articolo 9783319111483
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Advances in Complex Data Modeling and Computational Methods in Statistics
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Palgrave Macmillan, 2014
ISBN 10: 3319111485
ISBN 13: 9783319111483
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Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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. Codice articolo 24911006/2
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Edizione Internazionale
ADVANCEES IN COMPLEX DATA MODELING AND COMPUTATIONAL METHODS IN STATISTICS (HB 2015)
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Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability. Codice articolo CBS 9783319111483
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