Statistical Inference Theory for Measures of Complexity in Chaos Theory and Nonlinear Science-Reference-Cited by-同舟云学术

Statistical Inference Theory for Measures of Complexity in Chaos Theory and Nonlinear Science

Published:1989 Issue: Volume: Page:79-97
ISSN:0258-1221
Container-title:NATO ASI Series
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Author:

Brock W. A.,Dechert W. D.

Publisher

Springer New York

Link

http://link.springer.com/content/pdf/10.1007/978-1-4757-0623-9_7.pdf

Reference60 articles.

1. Ashley, R., and Patterson, D. (1986)1 “Linear Versus Nonlinear Macroeconomics: A Statistical Test,” Department of Economics, VPI and SU, Blacksburg, VA 24061, International Economic Review (forthcoming).

2. Ashley, R., Patterson, D., and Hinich, M. (1986), “ A Diagnostic Test for Nonlinearity and Serial Dependence in Time Series Fitting Errors,” Journal of Time Series Analysis, 7, #3, 165–178.

3. Baek, E. (1988), PhD Thesis, Department of Economics, University of Wisconsin, Madison.

4. Baek, E. (1987), “Contemporaneous Independence Test of Two IID Series,” Department of Economics, University of Wisconsin, Madison.

5. Barnett, W,. and Chen, P. (1988), “The Aggregation Theoretic Monetary Aggregates are Chaotic and Have Strange Attractors: An Econometric Application of Mathematical Chaos,” in Barnett, W., Berndt, E., and White, H. (Eds.), Dynamic Econometric Modelling, Cambridge University Press, Cambridge, 199–245.

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