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paperback. Condizione: Sehr gut. 352 Seiten; 9783319187310.2 Gewicht in Gramm: 1.

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Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Taschenbuch. 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.…

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. . . . . …

Taschenbuch. 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. …

Condizione: New. pp. 339.

Paperback. 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. …

Condizione: gut. 2015. Modeling and Stochastic Learning for Forecasting in High Dimensions (Lecture Notes in Statistics - Proceedings, Band 217) In deutscher Sprache. pages.

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. 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.…

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.…

Taschenbuch. 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.…

Condizione: New. Print on Demand pp. 339.

Condizione: New. PRINT ON DEMAND pp. 339.