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Condizione: New. pp. 374.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 356 pages. 9.25x6.25x1.00 inches. In Stock.
Lingua: Inglese
Editore: Springer International Publishing, 2013
ISBN 10: 3319008390 ISBN 13: 9783319008394
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Traditional procedures in the statistical forecasting of time series, which are proved to be optimal under the hypothetical model, are often not robust under relatively small distortions (misspecification, outliers, missing values, etc.), leading to actual forecast risks (mean square errors of prediction) that are much higher than the theoretical values. This monograph fills a gap in the literature on robustness in statistical forecasting, offering solutions to the following topical problems: - developing mathematical models and descriptions of typical distortions in applied forecasting problems; - evaluating the robustness for traditional forecasting procedures under distortions; - obtaining the maximal distortion levels that allow the 'safe' use of the traditional forecasting algorithms; - creating new robust forecasting procedures to arrive at risks that are less sensitive to definite distortion types.
Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Germania
EUR 229,90
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: gut. Robustness in Statistical Forecasting In deutscher Sprache. pages.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 46,22
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Sep 2013, 2013
ISBN 10: 3319008390 ISBN 13: 9783319008394
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers solutions to such topical problems as developing mathematical models and descriptions of typical distortions in applied forecasting problems; evaluating robustness for traditional forecasting procedures under distortionism and more. 372 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 83,39
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 374 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 82,25
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 374.
Lingua: Inglese
Editore: Springer International Publishing, 2013
ISBN 10: 3319008390 ISBN 13: 9783319008394
Da: moluna, Greven, Germania
EUR 48,37
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first book with a specific focus on robustness of time series forecasting Evaluates sensitivity of the forecast risks to distortions and presents new robust forecasting procedures Presentation of the material follows the pattern model .
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Sep 2013, 2013
ISBN 10: 3319008390 ISBN 13: 9783319008394
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Traditional procedures in the statistical forecasting of time series, which are proved to be optimal under the hypothetical model, are often not robust under relatively small distortions (misspecification, outliers, missing values, etc.), leading to actual forecast risks (mean square errors of prediction) that are much higher than the theoretical values. This monograph fills a gap in the literature on robustness in statistical forecasting, offering solutions to the following topical problems: developing mathematical models and descriptions of typical distortions in applied forecasting problems; evaluating the robustness for traditional forecasting procedures under distortions; obtaining the maximal distortion levels that allow the ¿safe¿ use of the traditional forecasting algorithms;creating new robust forecasting procedures to arrive at risks that are less sensitive to definite distortion types.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 372 pp. Englisch.