Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer Science+Business Media New York
About this chapter
Cite this chapter
Chan, KS., Tong, H. (2001). Introduction and Case Studies. In: Chaos: A Statistical Perspective. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3464-5_1
Download citation
DOI: https://doi.org/10.1007/978-1-4757-3464-5_1
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-2936-5
Online ISBN: 978-1-4757-3464-5
eBook Packages: Springer Book Archive