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Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 15,10
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: NEPO UG, Rüsselsheim am Main, Deutschland
Zustand: Gut. 440 Seiten Exemplar aus einer wissenchaftlichen Bibliothek Sprache: Englisch Gewicht in Gramm: 969 24,5 x 15,5 x 2,7 cm, Gebundene Ausgabe.
Anbieter: NEPO UG, Rüsselsheim am Main, Deutschland
Gebundene Ausgabe. Zustand: Gut. 440 Seiten ex Library Book aus einer wissenschaftlichen Bibliothek Sprache: Englisch Gewicht in Gramm: 969.
gebundene Ausgabe. Zustand: 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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Hardcover. Zustand: 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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EUR 327,65
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EUR 15,50
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In den WarenkorbPaperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Taschenbuch. Zustand: 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.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: 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.