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The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing. N° de ref. del artículo BSM.VBFN
Chaos theory has touched on such fields as biology, cognitive science, and physics. By providing a unified and complete explanation of new statistical methods that are useful for testing for chaos in data sets, Brock, Hsieh, and LeBaron show how the principles of chaos theory can be applied to such areas of economics and finance as the changing structure of stock returns and nonlinearity in foreign exchange. They use computer models extensively to illustrate their ideas and explain this frontier research at a level of rigor sufficient for others to build upon as well as to verify the soundness of their arguments.The authors, who have played a major role in developing basic testing methods that are effective in detecting chaos and other nonlinearities, provide a detailed exposition of empirical techniques for identifying evidence of chaos. They introduce and describe the BDS statistic, an easy-to-use test that detects the existence of potentially forecastable structure, nonstationarity, or hidden patterns in time-series data and that can be adapted to test for the adequacy of fit of forecasting models. An extensive performance evaluation of the BDS is included.Nonlinear Dynamics, Chaos, and Instability also reviews important issues in the theoretical economics literature on chaos and complex dynamics, surveys existing work on the detection of chaos and nonlinear structure, and develops models and processes to discover predictable sequencing in time-series data, such as stock returns, that currently appear random.William A. Brock is Vilas Research Professor of Economics and Blake LeBaron is Assistant Professor of Economics, both at the University of Wisconsin, Madison. David A. Hsieh is Professor of Business at the Fuqua School of Business, Duke University.
Reseña del editor: Chaos theory has touched on such fields as biology, cognitive science, and physics. By providing a unified and complete explanation of new statistical methods that are useful for testing for chaos in data sets, Brock, Hsieh, and LeBaron show how the principles of chaos theory can be applied to such areas of economics and finance as the changing structure of stock returns and nonlinearity in foreign exchange. They use computer models extensively to illustrate their ideas and explain this frontier research at a level of rigor sufficient for others to build upon as well as to verify the soundness of their arguments.The authors, who have played a major role in developing basic testing methods that are effective in detecting chaos and other nonlinearities, provide a detailed exposition of empirical techniques for identifying evidence of chaos. They introduce and describe the BDS statistic, an easy-to-use test that detects the existence of potentially forecastable structure, nonstationarity, or hidden patterns in time-series data and that can be adapted to test for the adequacy of fit of forecasting models. An extensive performance evaluation of the BDS is included.Nonlinear Dynamics, Chaos, and Instability also reviews important issues in the theoretical economics literature on chaos and complex dynamics, surveys existing work on the detection of chaos and nonlinear structure, and develops models and processes to discover predictable sequencing in time-series data, such as stock returns, that currently appear random. William A. Brock is Vilas Research Professor of Economics and Blake LeBaron is Assistant Professor of Economics, both at the University of Wisconsin, Madison. David A. Hsieh is Professor of Business at the Fuqua School of Business, Duke University.
Título: Nonlinear Dynamics, Chaos, and Instability: ...
Editorial: Mit Pr
Año de publicación: 1991
Encuadernación: Encuadernación de tapa dura
Condición: good
Librería: Giant Giant, Reston, VA, Estados Unidos de America
hardcover. Condición: Very Good. Very Good condition.Crisp pages. Clean cover and pages. Book shows minimal shelf wear. No highlighting/marking. Not Satisfied? Contact us to get a refund. Nº de ref. del artículo: BRG-23_4_749
Cantidad disponible: 1 disponibles
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
Hardcover. Condición: Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G0262023296I4N01
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Librería: NEPO UG, Rüsselsheim am Main, Alemania
Condición: Gut. 346 Seiten ex Library Book aus einer wissenschafltichen Bibliothek Ohne Schutzumschlag Sprache: Englisch Gewicht in Gramm: 969 23,7 x 16,0 x 2,5 cm, Gebundene Ausgabe. Nº de ref. del artículo: 380203
Cantidad disponible: 1 disponibles
Librería: Kloof Booksellers & Scientia Verlag, Amsterdam, Holanda
Condición: very good. Cambridge, MA. : The MIT Press, 1991. Hardcover. Dustjacket. 346 pp.- Chaos theory has touched on such fields as biology, cognitive science, and physics. By providing a unified and complete explanation of new statistical methods that are useful for testing for chaos in data sets, Brock, Hsieh, and LeBaron show how the principles of chaos theory can be applied to such areas of economics and finance as the changing structure of stock returns and nonlinearity in foreign exchange. They use computer models extensively to illustrate their ideas and explain this frontier research at a level of rigor sufficient for others to build upon as well as to verify the soundness of their arguments.The authors, who have played a major role in developing basic testing methods that are effective in detecting chaos and other nonlinearities, provide a detailed exposition of empirical techniques for identifying evidence of chaos. They introduce and describe the BDS statistic, an easy-to-use test that detects the existence of potentially forecastable structure, nonstationarity, or hidden patterns in time-series data and that can be adapted to test for the adequacy of fit of forecasting models. An extensive performance evaluation of the BDS is included.Nonlinear Dynamics, Chaos, and Instability also reviews important issues in the theoretical economics literature on chaos and complex dynamics, surveys existing work on the detection of chaos and nonlinear structure, and develops models and processes to discover predictable sequencing in time-series data, such as stock returns, that currently appear random.English text. Condition : very good. Condition : very good copy. ISBN 9780262023290. Keywords : , Nº de ref. del artículo: 69033
Cantidad disponible: 1 disponibles
Librería: Yushodo Co., Ltd., Fuefuki-shi, Yamanashi Pref., Japon
Hardcover. Condición: Good. No Jacket. xiv, 328 p. Nº de ref. del artículo: GU5917
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Librería: Dorley House Books, Inc., Hagerstown, MD, Estados Unidos de America
Hardcover. Condición: Very Good. Estado de la sobrecubierta: Near Fine. dj in mylar; 346 clean, unmarked pages/index. Nº de ref. del artículo: 124625
Cantidad disponible: 1 disponibles