Published by Springer/Sci-Tech/Trade, 2006
ISBN 10: 3540262393 ISBN 13: 9783540262398
Language: English
Seller: Skoob-ebooks, Pontiac, QC, Canada
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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Add to basketCondition: 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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paperback. Condition: New. In shrink wrap. Looks like an interesting title!
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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
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Add to basketBroschiert. 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.
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2006
ISBN 10: 3540262393 ISBN 13: 9783540262398
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
First Edition
Paperback. Condition: new. Paperback. 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. This reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting multiple time series. Different procedures for model selection and model specification are treated and a wide range of tests and criteria for model checking are introduced. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Germany
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Add to basketgebundene 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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Published by Springer Berlin Heidelberg, 2006
ISBN 10: 3540262393 ISBN 13: 9783540262398
Language: English
Seller: moluna, Greven, Germany
£ 135.11
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Add to basketKartoniert / 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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Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2005
ISBN 10: 3540401725 ISBN 13: 9783540401728
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
First Edition
Hardcover. Condition: new. Hardcover. 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. This reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting multiple time series. Different procedures for model selection and model specification are treated and a wide range of tests and criteria for model checking are introduced. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 164.13
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Add to basketPaperback. Condition: Brand New. 764 pages. 9.00x5.75x1.50 inches. In Stock.
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Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2006
ISBN 10: 3540262393 ISBN 13: 9783540262398
Language: English
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2007. 2006. Corr. 2nd. Paperback. This is the new and totally revised edition of Lutkepohl's classic 1991 work. It provides a detailed 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. Num Pages: 785 pages, 36 black & white tables, biography. BIC Classification: KF; KJ. Category: (P) Professional & Vocational. Dimension: 234 x 159 x 42. Weight in Grams: 1214. . . . . . Books ship from the US and Ireland.
Published by Springer, Berlin, Springer Berlin Heidelberg, Springer Apr 2006, 2006
ISBN 10: 3540262393 ISBN 13: 9783540262398
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
£ 166.86
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Add to basketTaschenbuch. 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.
Published by Springer Berlin Heidelberg, 2007
ISBN 10: 3540401725 ISBN 13: 9783540401728
Language: English
Seller: Buchpark, Trebbin, Germany
£ 142.36
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
Published by Springer Berlin Heidelberg, 2005
ISBN 10: 3540401725 ISBN 13: 9783540401728
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
£ 192.20
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Add to basketBuch. 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.
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2006
ISBN 10: 3540262393 ISBN 13: 9783540262398
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
First Edition
£ 244.38
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Add to basketPaperback. Condition: new. Paperback. 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. This reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting multiple time series. Different procedures for model selection and model specification are treated and a wide range of tests and criteria for model checking are introduced. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.