Language: English
Published by Springer, New York, NY, 2010
ISBN 10: 8847013852 ISBN 13: 9788847013858
Seller: Montana Book Company, Fond du Lac, WI, U.S.A.
Cloth. Condition: Very Good to Near Fine. 164 pp. Tightly bound. Corners not bumped. Text is Free of Markings.
Language: English
Published by Springer, New York, NY, 2010
ISBN 10: 8847013852 ISBN 13: 9788847013858
First Edition
Hardcover. Condition: Very Good. 1st Edition. 164 pp. Tightly bound. Corners not bumped. Text is free of markings. No ownership markings. Published without a dust jacket. Printed boards. First Edition / First Printing. 9,8,7,6,5,4,3,2,1. This copy is smyth sewn. Smyth sewing is a method of bookbinding where groups of folded pages (referred to as signatures) are stitched together using binder thread. Each folded signature is sewn together individually with multiple stitches and then joined with other signatures to create the complete book block. This is the traditional and best method of bookbinding.
Language: English
Published by Cham, Springer International Publishing., 2015
ISBN 10: 3319111485 ISBN 13: 9783319111483
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
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.
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Language: English
Published by Springer International Publishing, Springer International Publishing Aug 2016, 2016
ISBN 10: 3319385372 ISBN 13: 9783319385372
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: 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.
Language: English
Published by Springer Milan, Springer Milan Aug 2016, 2016
ISBN 10: 8847058066 ISBN 13: 9788847058064
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. Neuware -The last years have seen the advent and development of many devices able to record and store an always increasing amount of complex and high dimensional data; 3D images generated by medical scanners or satellite remote sensing, DNA microarrays, real time financial data, system control datasets, .Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 176 pp. Englisch.
Language: English
Published by Springer International Publishing, Springer Nature Switzerland Nov 2014, 2014
ISBN 10: 3319111485 ISBN 13: 9783319111483
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Buch. Condition: 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.
Language: English
Published by Springer International Publishing, 2016
ISBN 10: 3319385372 ISBN 13: 9783319385372
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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.
Language: English
Published by Springer International Publishing, 2014
ISBN 10: 3319111485 ISBN 13: 9783319111483
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: 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.
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The last years have seen the advent and development of many devices able to record and store an always increasing amount of complex and high dimensional data; 3D images generated by medical scanners or satellite remote sensing, DNA microarrays, real time financial data, system control datasets, . The analysis of this data poses new challenging problems and requires the development of novel statistical models and computational methods, fueling many fascinating and fast growing research areas of modern statistics. The book offers a wide variety of statistical methods and is addressed to statisticians working at the forefront of statistical analysis.
Language: English
Published by Springer Milan, Springer Milan, 2010
ISBN 10: 8847013852 ISBN 13: 9788847013858
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The last years have seen the advent and development of many devices able to record and store an always increasing amount of complex and high dimensional data; 3D images generated by medical scanners or satellite remote sensing, DNA microarrays, real time financial data, system control datasets, . The analysis of this data poses new challenging problems and requires the development of novel statistical models and computational methods, fueling many fascinating and fast growing research areas of modern statistics. The book offers a wide variety of statistical methods and is addressed to statisticians working at the forefront of statistical analysis.
Condition: 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.