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New Introduction to Multiple Time Series Analysis
Published by Springer/Sci-Tech/Trade, 2006
ISBN 10: 3540262393 ISBN 13: 9783540262398
Language: English
Softcover. Condition: Good. Minor wear. Some pages have a little highlighting (approximately 5% to 10% of the pages). Cover has few signs of wear. 30-day returns. Shipments destined outside Canada may be subject to duties where the customer resides. ; 6.1 X 1.78 X 9.25 inches; 764 pages; R0 540k/1m s0.
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Condition: New.
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Condition: New.
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paperback. Condition: New. In shrink wrap. Looks like an interesting title!
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New introduction to multiple time series analysis
Published by Berlin ; Heidelberg ; New York : Springer, 2005
ISBN 10: 3540401725 ISBN 13: 9783540401728
Language: English
Seller: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Germany
Seller rating 5 out of 5 stars
Broschiert. Condition: Gut. XXI, 764 S. Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 1195.
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New Introduction to Multiple Time Series Analysis
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 160.36
US$ 15.75 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: As New. Unread book in perfect condition.
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New Introduction to Multiple Time Series Analysis
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 160.34
US$ 19.72 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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New Introduction to Multiple Time Series Analysis.
Seller: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Germany
Seller rating 5 out of 5 stars
gebundene Ausgabe. Condition: Gut. 764 Seiten; Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 1380.
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New Introduction to Multiple Time Series Analysis
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 176.04
US$ 19.72 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Condition: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
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New Introduction to Multiple Time Series Analysis
Published by Springer Berlin Heidelberg, 2006
ISBN 10: 3540262393 ISBN 13: 9783540262398
Language: English
Kartoniert / Broschiert. Condition: New. Profound introduction to the main steps of analyzing multiple time series, model specification, estimation, model checking, and for using the models for economic analysis and forecasting Based on the successful Introduction to Multiple Time Series Ana.
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New Introduction to Multiple Time Series Analysis
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 222.25
US$ 15.75 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New.
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Paperback. Condition: Brand New. 764 pages. 9.00x5.75x1.50 inches. In Stock.
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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New Introduction to Multiple Time Series Analysis
Published by Springer, Berlin, Springer Berlin Heidelberg, Springer Apr 2006, 2006
ISBN 10: 3540262393 ISBN 13: 9783540262398
Language: English
Taschenbuch. Condition: Neu. Neuware - This reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting multiple time series. The models covered include vector autoregressive, cointegrated,vector autoregressive moving average, multivariate ARCH and periodic processes as well as dynamic simultaneous equations and state space models. Least squares, maximum likelihood and Bayesian methods are considered for estimating these models. Different procedures for model selection and model specification are treated and a wide range of tests and criteria for model checking are introduced. Causality analysis, impulse response analysis and innovation accounting are presented as tools for structural analysis. The book is accessible to graduate students in business and economics. In addition, multiple time series courses in other fields such as statistics and engineering may be based on it. Applied researchers involved in analyzing multiple time series may benefit from the book as it provides the background and tools for their tasks. It bridges the gap to the difficult technical literature on the topic.
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New Introduction to Multiple Time Series Analysis
Published by Springer Berlin Heidelberg, 2007
ISBN 10: 3540401725 ISBN 13: 9783540401728
Language: English
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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New Introduction to Multiple Time Series Analysis
Published by Springer Berlin Heidelberg, 2005
ISBN 10: 3540401725 ISBN 13: 9783540401728
Language: English
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting multiple time series. The models covered include vector autoregressive, cointegrated,vector autoregressive moving average, multivariate ARCH and periodic processes as well as dynamic simultaneous equations and state space models. Least squares, maximum likelihood and Bayesian methods are considered for estimating these models. Different procedures for model selection and model specification are treated and a wide range of tests and criteria for model checking are introduced. Causality analysis, impulse response analysis and innovation accounting are presented as tools for structural analysis. The book is accessible to graduate students in business and economics. In addition, multiple time series courses in other fields such as statistics and engineering may be based on it. Applied researchers involved in analyzing multiple time series may benefit from the book as it provides the background and tools for their tasks. It bridges the gap to the difficult technical literature on the topic.
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New Introduction to Multiple Time Series Analysis
Published by Springer Berlin Heidelberg, 2005
ISBN 10: 3540401725 ISBN 13: 9783540401728
Language: English
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Profound introduction to the main steps of analyzing multiple time series, model specification, estimation, model checking, and for using the models for economic analysis and forecasting Based on the successful Introduction to Multiple Time Series Ana.
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New Introduction to Multiple Time Series Analysis
Published by Springer Berlin Heidelberg Jul 2005, 2005
ISBN 10: 3540401725 ISBN 13: 9783540401728
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting multiple time series. The models covered include vector autoregressive, cointegrated,vector autoregressive moving average, multivariate ARCH and periodic processes as well as dynamic simultaneous equations and state space models. Least squares, maximum likelihood and Bayesian methods are considered for estimating these models. Different procedures for model selection and model specification are treated and a wide range of tests and criteria for model checking are introduced. Causality analysis, impulse response analysis and innovation accounting are presented as tools for structural analysis. The book is accessible to graduate students in business and economics. In addition, multiple time series courses in other fields such as statistics and engineering may be based on it. Applied researchers involved in analyzing multiple time series may benefit from the book as it provides the background and tools for their tasks. It bridges the gap to the difficult technical literature on the topic. 788 pp. Englisch.
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New Introduction to Multiple Time Series Analysis
Published by Springer-Verlag GmbH, 2005
ISBN 10: 3540401725 ISBN 13: 9783540401728
Language: English
Buch. Condition: Neu. New Introduction to Multiple Time Series Analysis | Helmut Lütkepohl | Buch | xxi | Englisch | 2005 | Springer-Verlag GmbH | EAN 9783540401728 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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New Introduction to Multiple Time Series Analysis
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2005, 2005
ISBN 10: 3540401725 ISBN 13: 9783540401728
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting multiple time series. The models covered include vector autoregressive, cointegrated,vector autoregressive moving average, multivariate ARCH and periodic processes as well as dynamic simultaneous equations and state space models. Least squares, maximum likelihood and Bayesian methods are considered for estimating these models. Different procedures for model selection and model specification are treated and a wide range of tests and criteria for model checking are introduced. Causality analysis, impulse response analysis and innovation accounting are presented as tools for structural analysis. The book is accessible to graduate students in business and economics. In addition, multiple time series courses in other fields such as statistics and engineering may be based on it. Applied researchers involved in analyzing multiple time series may benefit from the book as it provides the background and tools for their tasks. It bridges the gap to the difficult technical literature on the topic.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 788 pp. Englisch.
