Items related to The Econometric Analysis of Seasonal Time Series (Themes...
Synopsis
The treatment offers a thorough review of developments in econometric analysis of seasonal time series.
"synopsis" may belong to another edition of this title.
Review
"The authors have presented a coherent account of the current state of the econometric theory for analyzing seasonal time series processes." Mathematical Reviews
Book Description
Economic and financial time series feature important seasonal fluctuations. Despite their regular and predictable patterns over the year, month or week, they pose many challenges to economists and econometricians. This book provides a thorough review of the recent developments in the econometric analysis of seasonal time series.
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Econometric Analysis of Seasonal Time Series
Published by
Cambridge University Press, New York, 2001
ISBN 10: 0521562600
ISBN 13: 9780521562607
Used
Hardcover
Seller: Book Booth, Berea, OH, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Good. Ex-library w/usual stamps & stickers. Pages clean & bright; binding tight; very minor wear to covers. 228 pages. Illustrated. Size: 6" x 9". Seller Inventory # S197-051489
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The Econometric Analysis of Seasonal Time Series (Themes in Modern Econometrics)
Published by
Cambridge University Press, 2001
ISBN 10: 0521562600
ISBN 13: 9780521562607
New
Hardcover
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9780521562607_new
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The Econometric Analysis of Seasonal Time Series
Published by
Cambridge University Press, 2001
ISBN 10: 0521562600
ISBN 13: 9780521562607
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Eric Ghysels and Denise R. Osborn provide a thorough and timely review of the recent developments in the econometric analysis of seasonal economic time series, summarizing a decade of theoretical advances in the area. The authors discuss the asymptotic distribution theory for linear nonstationary seasonal stochastic processes. They also cover the latest contributions to the theory and practice of seasonal adjustment, together with its implications for estimation and hypothesis testing. Moreover, a comprehensive analysis of periodic models is provided, including stationary and nonstationary cases. The book concludes with a discussion of some nonlinear seasonal and periodic models. The treatment is designed for an audience of researchers and advanced graduate students. Seller Inventory # 9780521562607
Quantity: 1 available
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The Econometric Analysis of Seasonal Time Series (Hardcover)
Published by
Cambridge University Press, Cambridge, 2001
ISBN 10: 0521562600
ISBN 13: 9780521562607
New
Hardcover
First Edition
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. Eric Ghysels and Denise R. Osborn provide a thorough and timely review of the recent developments in the econometric analysis of seasonal economic time series, summarizing a decade of theoretical advances in the area. The authors discuss the asymptotic distribution theory for linear nonstationary seasonal stochastic processes. They also cover the latest contributions to the theory and practice of seasonal adjustment, together with its implications for estimation and hypothesis testing. Moreover, a comprehensive analysis of periodic models is provided, including stationary and nonstationary cases. The book concludes with a discussion of some nonlinear seasonal and periodic models. The treatment is designed for an audience of researchers and advanced graduate students. The treatment offers a review of developments in econometric analysis of seasonal time series. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521562607
Quantity: 1 available
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The Econometric Analysis of Seasonal Time Series
Published by
Cambridge University Press, 2001
ISBN 10: 0521562600
ISBN 13: 9780521562607
New
Hardcover
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 570. Seller Inventory # C9780521562607
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The Econometric Analysis of Seasonal Time Series
Print on DemandSeller: Revaluation Books, Exeter, United Kingdom
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Hardcover. Condition: Brand New. 1st edition. 228 pages. 9.50x6.50x0.75 inches. In Stock. This item is printed on demand. Seller Inventory # __0521562600
Quantity: 1 available
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The Econometric Analysis of Seasonal Time Series (Themes in Modern Econometrics)
Published by
Cambridge University Press, 2001
ISBN 10: 0521562600
ISBN 13: 9780521562607
New
Hardcover
Seller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # I-9780521562607
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The Econometric Analysis of Seasonal Time Series
Published by
Cambridge University Press, 2010
ISBN 10: 0521562600
ISBN 13: 9780521562607
New
Hardcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Economic and financial time series feature important seasonal fluctuations. Despite their regular and predictable patterns over the year, month or week, they pose many challenges to economists and econometricians. This book provides a thorough review of the. Seller Inventory # 446940128
Quantity: Over 20 available
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The Econometric Analysis of Seasonal Time Series
Published by
Cambridge University Press CUP, 2001
ISBN 10: 0521562600
ISBN 13: 9780521562607
New
Hardcover
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pp. 252. Seller Inventory # 26194522
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The Econometric Analysis of Seasonal Time Series
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: Brand New. 1st edition. 228 pages. 9.50x6.50x0.75 inches. In Stock. Seller Inventory # x-0521562600
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