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Aggiungi al carrelloCondizione: New. Editor(s): Antoniadis, Anestis; Poggi, Jean-Michel; Brossat, Xavier. Series: Lecture Notes in Statistics. Num Pages: 349 pages, 56 black & white illustrations, 49 colour illustrations, biography. BIC Classification: PBT; PBWH; UYAM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 495. . 2015. Paperback. . . . .
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Modeling and Stochastic Learning for Forecasting in High Dimensions | Anestis Antoniadis (u. a.) | Taschenbuch | Lecture Notes in Statistics | x | Englisch | 2015 | Springer | EAN 9783319187310 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan, 2015
ISBN 10: 3319187317 ISBN 13: 9783319187310
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The chapters in this volume stress the need for advances in theoretical understanding to go hand-in-hand with the widespread practical application of forecasting in industry. Forecasting and time series prediction have enjoyed considerable attention over the last few decades, fostered by impressive advances in observational capabilities and measurement procedures. On June 5-7, 2013, an international Workshop on Industry Practices for Forecasting was held in Paris, France, organized and supported by the OSIRIS Department of Electricité de France Research and Development Division. In keeping with tradition, both theoretical statistical results and practical contributions on this active field of statistical research and on forecasting issues in a rapidly evolving industrial environment are presented. The volume reflects the broad spectrum of the conference, including 16 articles contributed by specialists in various areas. The material compiled is broad in scope and ranges from new findings on forecasting in industry and in time series, on nonparametric and functional methods and on on-line machine learning for forecasting, to the latest developments in tools for high dimension and complex data analysis.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2015 edition. 339 pages. 8.75x6.00x0.75 inches. In Stock.
Condizione: New. Editor(s): Antoniadis, Anestis; Poggi, Jean-Michel; Brossat, Xavier. Series: Lecture Notes in Statistics. Num Pages: 349 pages, 56 black & white illustrations, 49 colour illustrations, biography. BIC Classification: PBT; PBWH; UYAM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 495. . 2015. Paperback. . . . . Books ship from the US and Ireland.
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Jun 2015, 2015
ISBN 10: 3319187317 ISBN 13: 9783319187310
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The chapters in this volume stress the need for advances in theoretical understanding to go hand-in-hand with the widespread practical application of forecasting in industry. Forecasting and time series prediction have enjoyed considerable attention over the last few decades, fostered by impressive advances in observational capabilities and measurement procedures. On June 5-7, 2013, an international Workshop on Industry Practices for Forecasting was held in Paris, France, organized and supported by the OSIRIS Department of Electricité de France Research and Development Division. In keeping with tradition, both theoretical statistical results and practical contributions on this active field of statistical research and on forecasting issues in a rapidly evolving industrial environment are presented. The volume reflects the broad spectrum of the conference, including 16 articles contributed by specialists in various areas. The material compiled is broad in scope and ranges from new findings on forecasting in industry and in time series, on nonparametric and functional methods and on on-line machine learning for forecasting, to the latest developments in tools for high dimension and complex data analysis. 352 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, 2015
ISBN 10: 3319187317 ISBN 13: 9783319187310
Da: moluna, Greven, Germania
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents contributions from the International Workshop on Industry Practices for Forecasting (June 5-7, 2013, Paris, France)Shows latest developments in forecasting and time series predictionIncludes practical examples illustrating theoreti.
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 339.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Jun 2015, 2015
ISBN 10: 3319187317 ISBN 13: 9783319187310
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The chapters in this volume stress the need for advances in theoretical understanding to go hand-in-hand with the widespread practical application of forecasting in industry. Forecasting and time series prediction have enjoyed considerable attention over the last few decades, fostered by impressive advances in observational capabilities and measurement procedures. On June 5-7, 2013, an international Workshop on Industry Practices for Forecasting was held in Paris, France, organized and supported by the OSIRIS Department of Electricité de France Research and Development Division. In keeping with tradition, both theoretical statistical results and practical contributions on this active field of statistical research and on forecasting issues in a rapidly evolving industrial environment are presented. The volume reflects the broad spectrum of the conference, including 16 articles contributed by specialists in various areas. The material compiled is broad in scope and ranges from new findings on forecasting in industry and in time series, on nonparametric and functional methods and on on-line machine learning for forecasting, to the latest developments in tools for high dimension and complex data analysis.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 352 pp. Englisch.
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 339.