Condition: As New. Unread book in perfect condition.
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Published by Professional Geographer, 2000
Seller: Larry W Price Books, Portland, OR, U.S.A.
Magazine / Periodical
Pamphlet. Condition: Very Good. Vol 52, No 1, pp. 37-49, Extracted from orig vol, thus begins with title page, trimmed & stapled pamphlet, else VG.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Academic Journal Offprint from: - The Professional Geographer - Forum and Journal of the Association of American Geographers, Volume 52, No. 1, February 2000., 2000
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Add to basket13pp, 2 figs, Printed Card Cover, VGC,
Seller: moluna, Greven, Germany
Condition: New. KlappentextIn recent years, several new parametric and nonparametric bootstrap methods have been proposed for time series data. Which of these methods should applied researchers use? We provide evidence that for many applications in time.
gebundene Ausgabe. Condition: Gut. 496 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 1100.
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First Edition
Hardcover. Condition: Good. 1st Edition. Oversized hardcover, xviii + 496 pages. Weight 1070g. Cleanly removed title-page, blank labels inside the front board, a thick external black-marker line on upper outer page edges. Book is clean, with unmarked text and firm binding. Short creases in the upper corner of the front board. Issued without a dust jacket. -- This multi-authored handbook provides a comprehensive overview of advanced techniques for analyzing complex, real-world time series, with a particular emphasis on methods originating from nonlinear dynamics and statistical physics. The volume serves as a bridge between standard linear approaches and more sophisticated tools required for data from fields like neuroscience, physiology, and engineering. It is structured to cover key thematic areas, including spectral and wavelet methods for characterizing oscillations, various measures for detecting and quantifying synchronization between signals, and rigorous techniques for establishing causality. A significant portion is dedicated to identifying and characterizing nonlinearity and chaos in experimental data, with practical guidance on methods like state-space reconstruction and surrogate data testing. The book is an essential reference for researchers and graduate students seeking to apply robust, model-based analysis to their data.
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Add to basket1995. University of Hull. Soft covers. Pamphlet - VG. Number of pages 30.
Condition: gut. 2006. Handbook of Time Series Analysis: Recent Theoretical Developments and Applications. In deutscher Sprache. pages.
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Language: English
Published by Edward Elgar Publishing, 2003
ISBN 10: 1840649518 ISBN 13: 9781840649512
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Language: English
Published by Edward Elgar Publishing, 2003
ISBN 10: 1840649518 ISBN 13: 9781840649512
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Published by Edward Elgar Publishing, 2003
ISBN 10: 1840649518 ISBN 13: 9781840649512
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Published by Edward Elgar Publishing, 2003
ISBN 10: 1840649518 ISBN 13: 9781840649512
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Published by Edward Elgar Publishing, 2003
ISBN 10: 1840649518 ISBN 13: 9781840649512
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Published by Edward Elgar Publishing, 2003
ISBN 10: 1840649518 ISBN 13: 9781840649512
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Published by Edward Elgar Publishing, 2003
ISBN 10: 1840649518 ISBN 13: 9781840649512
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Published by Edward Elgar Publishing Ltd, 2003
ISBN 10: 1840649518 ISBN 13: 9781840649512
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Published by Edward Elgar Publishing Ltd, 2003
ISBN 10: 1840649518 ISBN 13: 9781840649512
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - I use recent advance in statistics and econometrics in an effort to re-test some well-known theoretical propositions, examine whether those new techniques support the theory, provide models that are better fitted to describe and forecast economic time-series. The Purchasing Power Parity theory is tested using the Fisher and Seater (1993) and King and Watson (1997) methodologies and strong evidence in support of PPP is found. I use the general class of ARCH/GARCH processes to model financial time series in an ARIMA framework and the best fitted models outperform traditional ARIMA models in terms of the forecast variance. Finally, I test the balanced growth theory and try to estimate a money demand function using the Johansen and Juselius (1993) methodology. I do not find evidence in support of the balanced growth theory and a stable money demand function, and these results are not sensitive to different monetary aggregates that are constructed according to recent index number theory.
Taschenbuch. Condition: Neu. Purchasing Power Parity, Balanced Growth, and Volatility Forecasting | An Application of Recent Developments in Time Series Analysis | Periklis Gogas | Taschenbuch | Kartoniert / Broschiert | Englisch | 2014 | [.] | EAN 9781312750142 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.