9789811096624 - advanced statistical methods in data science (12 risultati)
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Advanced Statistical Methods in Data Science
Chen, Ding-Geng|Chen, Jiahua|Lu, Xuewen|Yi, Grace Y.|Yu, Hao
Lingua: Inglese
Editore: Springer Singapore, 2018
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Da: moluna, Greven, Germaniamoluna
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EUR 92,27
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Condizione: New.
Lingua: Inglese
Editore: Springer, 2018
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 149,32
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Condizione: New. pp. 238 Softcover reprint of the original 1st ed. 2016 edition NO-PA16APR2015-KAP.
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Lingua: Inglese
Editore: Springer, 2018
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 95,25
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Taschenbuch. Condizione: Neu. Advanced Statistical Methods in Data Science | Ding-Geng Chen (u. a.) | Taschenbuch | xvi | Englisch | 2018 | Springer | EAN 9789811096624 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Lingua: Inglese
Editore: Springer, 2018
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 106,99
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to a…llow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invitedthe presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences.
Advanced Statistical Methods in Data Science (ICSA Book Series in Statistics)
Chen, Jiahua (Editor) / Yu, Hao (Editor) / Yi, Grace Y. (Editor) / Chen, Ding-Geng (Editor) / Lu, Xuewen (Editor)
Lingua: Inglese
Editore: Springer, 2018
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 173,32
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Paperback. Condizione: Brand New. reprint edition. 222 pages. 9.25x6.10x0.55 inches. In Stock.
Lingua: Inglese
Editore: Springer, 2018
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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EUR 185,38
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Paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Springer, 2018
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- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer, 2018
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- Print on Demand
Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
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Lingua: Inglese
Editore: Springer Nature Singapore Jul 2018, 2018
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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 -This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data s…ciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invited the presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences. 240 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2018
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 153,95
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Condizione: New. Print on Demand pp. 238.
Lingua: Inglese
Editore: Springer, 2018
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 157,20
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Condizione: New. PRINT ON DEMAND pp. 238.
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Lingua: Inglese
Editore: Springer, Springer Jul 2018, 2018
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 106,99
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data scien…ces and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invitedthe presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 240 pp. Englisch.





