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Aggiungi al carrelloPaperback. Condizione: Brand New. 169 pages. German language. 9.45x6.61x0.39 inches. In Stock.
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Aggiungi al carrelloHardcover. Condizione: Gut. 380 Dust jacket partially browned and creased at the edges. Name on endpaper, otherwise well preserved inside 330 Sprache: Englisch Gewicht in Gramm: 831.
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This textbook provides a self-contained presentation of the theory and models of time series analysis. Putting an emphasis on weakly stationary processes and linear dynamic models, it describes the basic concepts, ideas, methods and results in a mathematically well-founded form and includes numerous examples and exercises. The first part presents the theory of weakly stationary processes in time and frequency domain, including prediction and filtering. The second part deals with multivariate AR, ARMA and state space models, which are the most important model classes for stationary processes, and addresses the structure of AR, ARMA and state space systems, Yule-Walker equations, factorization of rational spectral densities and Kalman filtering. Finally, there is a discussion of Granger causality, linear dynamic factor models and (G)ARCH models. The book provides a solid basis for advanced mathematics students and researchers in fields such as data-driven modeling, forecasting and filtering, which are important in statistics, control engineering, financial mathematics, econometrics and signal processing, among other subjects.
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EUR 94,00
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Time Series Models | Manfred Deistler (u. a.) | Taschenbuch | Lecture Notes in Statistics | xiv | Englisch | 2022 | Springer | EAN 9783031132124 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook provides a self-contained presentation of the theory and models of time series analysis. Putting an emphasis on weakly stationary processes and linear dynamic models, it describes the basic concepts, ideas, methods and results in a mathematically well-founded form and includes numerous examples and exercises. The first part presents the theory of weakly stationary processes in time and frequency domain, including prediction and filtering. The second part deals with multivariate AR, ARMA and state space models, which are the most important model classes for stationary processes, and addresses the structure of AR, ARMA and state space systems, Yule-Walker equations, factorization of rational spectral densities and Kalman filtering. Finally, there is a discussion of Granger causality, linear dynamic factor models and (G)ARCH models. The book provides a solid basis for advanced mathematics students and researchers in fields such as data-driven modeling, forecasting and filtering, which are important in statistics, control engineering, financial mathematics, econometrics and signal processing, among other subjects.
Lingua: Tedesco
Editore: Springer, Berlin, Birkhäuser, 2017
ISBN 10: 3319686631 ISBN 13: 9783319686639
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 19,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Dieses Buch bietet eine einheitliche und geschlossene Darstellung von Theorie und Modellen, die der Zeitreihenanalyse zugrunde liegen. Das Schwergewicht liegt dabei beim schwach stationären Fall und bei linearen Modellen: Im ersten Teil wird die Theorie allgemeiner multivariater schwach stationärer Prozesse in Zeit-und Frequenzbereich, einschließlich deren Prognose und Filterung hergeleitet. Der zweite Teil beschäftigt sich mit multivariaten AR-, ARMA- und Zustandsraum-Systemen als den wichtigsten Modellklassen für stationäre Prozesse. In diesem Rahmen werden Yule-Walker Gleichungen, die Faktorisierung rationaler Spektren, das Kalman Filter und die Struktur von ARMA-und Zustandsraum-Systemen beschrieben. Ziel des Buches ist es die wesentlichen Konzepte, Ideen, Methoden und Resultate in mathematisch sauberer Form darzustellen und somit eine solide Fundierung für Studenten und Forscher in Feldern wie datengetriebener Modellierung, Prognose und Filterung, wie sie etwa für die Kontrolltheorie, Ökonometrie, Signalverarbeitung und Statistik relevant sind, zu bieten.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Modelle der Zeitreihenanalyse | Manfred Deistler (u. a.) | Taschenbuch | x | Deutsch | 2017 | Birkhäuser | EAN 9783319686639 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Editore: Springer Nature, 2022
ISBN 10: 3031132122 ISBN 13: 9783031132124
Da: Revaluation Books, Exeter, Regno Unito
EUR 151,01
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Aggiungi al carrelloPaperback. Condizione: Brand New. 215 pages. 9.25x6.10x0.46 inches. In Stock.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 21,17
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Da: Majestic Books, Hounslow, Regno Unito
EUR 30,49
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 169.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 31,09
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 169.
Lingua: Tedesco
Editore: Berlin Springer International Publishing Springer Dez 2017, 2017
ISBN 10: 3319686631 ISBN 13: 9783319686639
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 19,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Dieses Buch bietet eine einheitliche und geschlossene Darstellung von Theorie und Modellen, die der Zeitreihenanalyse zugrunde liegen. Das Schwergewicht liegt dabei beim schwach stationären Fall und bei linearen Modellen: Im ersten Teil wird die Theorie allgemeiner multivariater schwach stationärer Prozesse in Zeit-und Frequenzbereich, einschließlich deren Prognose und Filterung hergeleitet. Der zweite Teil beschäftigt sich mit multivariaten AR-, ARMA- und Zustandsraum-Systemen als den wichtigsten Modellklassen für stationäre Prozesse. In diesem Rahmen werden Yule-Walker Gleichungen, die Faktorisierung rationaler Spektren, das Kalman Filter und die Struktur von ARMA-und Zustandsraum-Systemen beschrieben. Ziel des Buches ist es die wesentlichen Konzepte, Ideen, Methoden und Resultate in mathematisch sauberer Form darzustellen und somit eine solide Fundierung für Studenten und Forscher in Feldern wie datengetriebener Modellierung, Prognose und Filterung, wie sie etwa für die Kontrolltheorie, Ökonometrie, Signalverarbeitung und Statistik relevant sind, zu bieten. 159 pp. Deutsch.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 86,24
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer, Springer Okt 2022, 2022
ISBN 10: 3031132122 ISBN 13: 9783031132124
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 106,99
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook provides a self-contained presentation of the theory and models of time series analysis. Putting an emphasis on weakly stationary processes and linear dynamic models, it describes the basic concepts, ideas, methods and results in a mathematically well-founded form and includes numerous examples and exercises. The first part presents the theory of weakly stationary processes in time and frequency domain, including prediction and filtering. The second part deals with multivariate AR, ARMA and state space models, which are the most important model classes for stationary processes, and addresses the structure of AR, ARMA and state space systems, Yule-Walker equations, factorization of rational spectral densities and Kalman filtering. Finally, there is a discussion of Granger causality, linear dynamic factor models and (G)ARCH models. The book provides a solid basis for advanced mathematics students and researchers in fields such as data-driven modeling, forecasting and filtering, which are important in statistics, control engineering, financial mathematics, econometrics and signal processing, among other subjects. 216 pp. Englisch.
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Birkhäuser|Springer, 2022
ISBN 10: 3031132122 ISBN 13: 9783031132124
Da: moluna, Greven, Germania
EUR 89,99
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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. This textbook provides a self-contained presentation of the theory and models of time series analysis. Putting an emphasis on weakly stationary processes and linear dynamic models, it describes the basic concepts, ideas, methods and results in a mathemat.
Da: Majestic Books, Hounslow, Regno Unito
EUR 135,57
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 137,76
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Lingua: Inglese
Editore: Springer, Springer Okt 2022, 2022
ISBN 10: 3031132122 ISBN 13: 9783031132124
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This textbook provides a self-contained presentation of the theory and models of time series analysis. Putting an emphasis on weakly stationary processes and linear dynamic models, it describes the basic concepts, ideas, methods and results in a mathematically well-founded form and includes numerous examples and exercises. The first part presents the theory of weakly stationary processes in time and frequency domain, including prediction and filtering. The second part deals with multivariate AR, ARMA and state space models, which are the most important model classes for stationary processes, and addresses the structure of AR, ARMA and state space systems, Yule-Walker equations, factorization of rational spectral densities and Kalman filtering. Finally, there is a discussion of Granger causality, linear dynamic factor models and (G)ARCH models. The book provides a solid basis for advanced mathematics students and researchers in fields such as data-driven modeling, forecasting and filtering, which are important in statistics, control engineering, financial mathematics, econometrics and signal processing, among other subjects.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 216 pp. Englisch.