Verwandte Artikel zu Automatic trend estimation (SpringerBriefs in Physics)
Inhaltsangabe
Our book introduces a method to evaluate the accuracy of trend estimation algorithms under conditions similar to those encountered in real time series processing. This method is based on Monte Carlo experiments with artificial time series numerically generated by an original algorithm. The second part of the book contains several automatic algorithms for trend estimation and time series partitioning. The source codes of the computer programs implementing these original automatic algorithms are given in the appendix and will be freely available on the web. The book contains clear statement of the conditions and the approximations under which the algorithms work, as well as the proper interpretation of their results. We illustrate the functioning of the analyzed algorithms by processing time series from astrophysics, finance, biophysics, and paleoclimatology. The numerical experiment method extensively used in our book is already in common use in computational and statistical physics.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Vamos is Scientific researcher II at "Tiberiu Popoviciu" Institute of Numerical Analysis (Romania). His interests are on time series theory and quantitative finance.
Craciun is Scientific researcher III at "Tiberiu Popoviciu" Institute of Numerical Analysis (Romania). Her interests are on time series theory and quantitative finance.
Von der hinteren Coverseite
Our book introduces a method to evaluate the accuracy of trend estimation algorithms under conditions similar to those encountered in real time series processing. This method is based on Monte Carlo experiments with artificial time series numerically generated by an original algorithm. The second part of the book contains several automatic algorithms for trend estimation and time series partitioning. The source codes of the computer programs implementing these original automatic algorithms are given in the appendix and will be freely available on the web. The book contains clear statement of the conditions and the approximations under which the algorithms work, as well as the proper interpretation of their results. We illustrate the functioning of the analyzed algorithms by processing time series from astrophysics, finance, biophysics, and paleoclimatology. The numerical experiment method extensively used in our book is already in common use in computational and statistical physics.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 49,95
EUR 13,75 für den Versand von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer
Suchergebnisse für Automatic trend estimation (SpringerBriefs in Physics)
Beispielbild für diese ISBN
Automatic trend estimation (SpringerBriefs in Physics)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Artikel-Nr. ria9789400748248_new
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Automatic Trend Estimation
Anbieter: Kennys Bookstore, Olney, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. With practical examples of real-time series from astrophysics, finance, biophysics, and paleoclimatology, this book shows how to evaluate the accuracy of trend estimation algorithms under conditions similar to those encountered in real-time series processing. Series: SpringerBriefs in Physics. Num Pages: 141 pages, 77 black & white illustrations, biography. BIC Classification: PBT; PHS; PHU; UGK. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 7. Weight in Grams: 213. . 2012. Paperback. . . . . Books ship from the US and Ireland. Artikel-Nr. V9789400748248
Anzahl: 15 verfügbar
Beispielbild für diese ISBN
Automatic Trend Estimation
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Brand New. 2013 edition. 130 pages. 8.75x6.00x0.25 inches. In Stock. Artikel-Nr. x-9400748248
Anzahl: 2 verfügbar
Foto des Verkäufers
Automatic trend estimation
Verlag:
Springer Netherlands, Springer Netherlands, 2012
ISBN 10: 9400748248
ISBN 13: 9789400748248
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Our book introduces a method to evaluate the accuracy of trend estimation algorithms under conditions similar to those encountered in real time series processing. This method is based on Monte Carlo experiments with artificial time series numerically generated by an original algorithm. The second part of the book contains several automatic algorithms for trend estimation and time series partitioning. The source codes of the computer programs implementing these original automatic algorithms are given in the appendix and will be freely available on the web. The book contains clear statement of the conditions and the approximations under which the algorithms work, as well as the proper interpretation of their results. We illustrate the functioning of the analyzed algorithms by processing time series from astrophysics, finance, biophysics, and paleoclimatology. The numerical experiment method extensively used in our book is already in common use in computational and statistical physics. Artikel-Nr. 9789400748248
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Automatic trend estimation
Anbieter: Buchpark, Trebbin, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher. Artikel-Nr. 22559820/12
Anzahl: 1 verfügbar