Editors:
- Comprehensive survey of the state of the art and of future developments in long memory analysis
- Combination of statistical, mathematical, and economic research in the field
- Includes supplementary material: sn.pub/extras
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Table of contents (13 chapters)
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Front Matter
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Statistical Methods
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Front Matter
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Economic Models
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Front Matter
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Editors and Affiliations
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Laboratoire de Statistique Appliquée et de Modélisation Stochastique (SAMOS), Panthéon Sorbonne, Centre Pierre Mendès, Université Paris 1, Paris Cedex 13, France
Gilles Teyssière
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L’Ecole des Hautes Etudes en Sciences Sociales (EHESS), Université Aix-Marseille III, Marseille, France
Alan P. Kirman
Bibliographic Information
Book Title: Long Memory in Economics
Editors: Gilles Teyssière, Alan P. Kirman
DOI: https://doi.org/10.1007/978-3-540-34625-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Economics and Finance (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Hardcover ISBN: 978-3-540-22694-9Published: 02 August 2006
Softcover ISBN: 978-3-642-06154-7Published: 12 February 2010
eBook ISBN: 978-3-540-34625-8Published: 22 September 2006
Edition Number: 1
Number of Pages: XII, 389
Topics: Economic Theory/Quantitative Economics/Mathematical Methods, Game Theory, Economics, Social and Behav. Sciences, Statistics for Business, Management, Economics, Finance, Insurance, Econometrics