EUR 18,08
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Aggiungi al carrelloCondizione: Very Good. Used - Very Good.
Condizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 64,99
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Condizione: New.
Da: Chiron Media, Wallingford, Regno Unito
EUR 62,73
Quantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
EUR 64,98
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Aggiungi al carrelloCondizione: New.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
EUR 73,40
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 83,84
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 100 pages. 9.00x6.00x0.25 inches. In Stock.
Lingua: Inglese
Editore: Springer, Berlin, Springer, 2016
ISBN 10: 3319480146 ISBN 13: 9783319480145
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 62,28
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a novel approach to time series econometrics, which studies the behavior of nonlinear stochastic processes. This approach allows for an arbitrary dependence structure in the increments and provides a generalization with respect to the standard linear independent increments assumption of classical time series models. The book offers a solution to the problem of a general semiparametric approach, which is given by a concept called C-convolution (convolution of dependent variables), and the corresponding theory of convolution-based copulas. Intended for econometrics and statistics scholars with a special interest in time series analysis and copula functions (or other nonparametric approaches), the book is also useful for doctoral students with a basic knowledge of copula functions wanting to learn about the latest research developments in the field.
EUR 54,80
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Convolution Copula Econometrics | Umberto Cherubini (u. a.) | Taschenbuch | x | Englisch | 2016 | Springer | EAN 9783319480145 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 50,23
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Berlin Springer International Publishing Springer Dez 2016, 2016
ISBN 10: 3319480146 ISBN 13: 9783319480145
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 58,84
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a novel approach to time series econometrics, which studies the behavior of nonlinear stochastic processes. This approach allows for an arbitrary dependence structure in the increments and provides a generalization with respect to the standard linear independent increments assumption of classical time series models. The book offers a solution to the problem of a general semiparametric approach, which is given by a concept called C-convolution (convolution of dependent variables), and the corresponding theory of convolution-based copulas. Intended for econometrics and statistics scholars with a special interest in time series analysis and copula functions (or other nonparametric approaches), the book is also useful for doctoral students with a basic knowledge of copula functions wanting to learn about the latest research developments in the field. 90 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 85,81
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 85,56
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: Springer International Publishing, 2016
ISBN 10: 3319480146 ISBN 13: 9783319480145
Da: moluna, Greven, Germania
EUR 53,17
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides ideas for further research in the field of time series analysis and copula functionsPresents an authoritative contribution on long memory features of macroeconomic and financial time seriesExplores the use of convolution-based econ.