Langue: anglais
Edité par Butterworth Heinemann, Oxford, 2001
ISBN 10 : 0750651539 ISBN 13 : 9780750651530
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Ajouter au panierTrade Paperback. Etat : Near Fine. Large 8vo. 288 pp., index, charts, b/w illustrations. Second edition. Minor wear to corners. A clean, unmarked copy.
Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
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Ajouter au panierXVI, 222 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. ICSA Book Series in Statistics. Sprache: Englisch.
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Ajouter au panierGebunden. Etat : New.
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Ajouter au panierEtat : New. pp. 238 Softcover reprint of the original 1st ed. 2016 edition NO-PA16APR2015-KAP.
Langue: anglais
Edité par Cambridge Scholars Publishing, 2020
ISBN 10 : 1527545385 ISBN 13 : 9781527545380
Vendeur : Buchpark, Trebbin, Allemagne
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Ajouter au panierEtat : Sehr gut. Zustand: Sehr gut | Seiten: 213 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Ajouter au panierTaschenbuch. Etat : 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.
Langue: anglais
Edité par Springer Nature Singapore, Springer Nature Singapore, 2018
ISBN 10 : 9811096627 ISBN 13 : 9789811096624
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Ajouter au panierTaschenbuch. Etat : 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 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.
Langue: anglais
Edité par Springer Nature Singapore, Springer Nature Singapore, 2016
ISBN 10 : 9811025932 ISBN 13 : 9789811025938
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierBuch. Etat : 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 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.
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Ajouter au panierHardcover. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Ajouter au panierPaperback. Etat : Brand New. reprint edition. 222 pages. 9.25x6.10x0.55 inches. In Stock.
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Ajouter au panierpaperback. Etat : New. Pub Date: 2014-11-01 Pages: 326 Language: Chinese Publisher: Hunan People's Publishing House Grace Ke Dingdun: This book is an important one in the history of fashion. its value will far surpass myself. Grace is for Vogue to become fashion bible the driving force behind. and only dared and editor Anna Wintour (we are more used to call her The Devil Wears Prada ). challenge the person. All the well-known photographers and models are willing to cooperate with her because they know Grace let the.
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Ajouter au panierEtat : New. pp. xvi + 288 Illus. This item is printed on demand.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Ajouter au panierEtat : New. PRINT ON DEMAND pp. xvi + 288.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par Springer Nature Singapore Jul 2018, 2018
ISBN 10 : 9811096627 ISBN 13 : 9789811096624
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 106,99
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Ajouter au panierTaschenbuch. Etat : 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 sciences 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.
Langue: anglais
Edité par Springer Nature Singapore Dez 2016, 2016
ISBN 10 : 9811025932 ISBN 13 : 9789811025938
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 106,99
Quantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : 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 sciences 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.