Introduction and Case Studies

  • Kung-Sik Chan
  • Howell Tong
Part of the Springer Series in Statistics book series (SSS)


One of us (Tong, 1995a) has discussed this issue as follows. To different statisticians, the subject of deterministic chaos might provoke different reactions. Some statisticians might find chaos — the notion totally alien, and even suspicious. They might have heard or overheard one or two claims perpetuated in some popular accounts of deterministic chaos theory, from which they might form the impression that the theory attempts to explain almost all random phenomena by purely deterministic systems. They tend to take their leave at this point because their training has convinced them of the limitations of determinism in analysing real data.


Correlation Dimension Conditional Variance Daily Return Deterministic Chaos Time Series Plot 
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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Kung-Sik Chan
    • 1
  • Howell Tong
    • 2
    • 3
  1. 1.Department of Statistics and Actuarial ScienceThe University of IowaIowa CityUSA
  2. 2.Department of StatisticsThe London School of Economics and Political ScienceLondonUK
  3. 3.The University of Hong KongHong Kong

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