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Informative psychometric filters / Robert A. M. Gregson.
- Format:
- Book
- Author/Creator:
- Gregson, Robert A. M., author.
- Language:
- English
- Subjects (All):
- Chaotic behavior in systems--Mathematical models.
- Chaotic behavior in systems.
- Time-series analysis--Mathematical models.
- Time-series analysis.
- Physical Description:
- 1 online resource (322 pages) : illustrations; digital, PDF file(s).
- Place of Publication:
- Canberra ANU Press 2006
- Canberra, Australia : ANU E Press, 2006.
- Language Note:
- English
- System Details:
- text file
- Summary:
- This book is a series of case studies with a common theme. Some refer closely to previous work by the author, but contrast with how they have been treated before, and some are new. Comparisons are drawn using various sorts of psychological and psychophysiological data that characteristically are particularly nonlinear, non-stationary, far from equilibrium and even chaotic, exhibiting abrupt transitions that are both reversible and irreversible, and failing to meet metric properties. A core idea is that both the human organism and the data analysis procedures used are filters, that may variously preserve, transform, distort or even destroy information of significance.
- Contents:
- Information, Entropy and Transmission
- Transients onto Attractors
- Inter- and Intra-level Dynamics of Models
- A Bivariate Entropic Analogue of the Schwarzian Derivative
- Tribonacci and Long Memory
- Rescorla's Theory of Conditioning
- Nonlinearity, Nonstationarity and Concatenation
- Time Series of Disasters
- Perron-Frobenius at the Edge of Chaos
- Appendix: Nonlinear Psychophysical Dynamics.
- Notes:
- Bibliographic Level Mode of Issuance: Monograph
- Includes bibliographical references and index.
- Creative Commons Attribution-NonCommercial-NoDerivatives https://creativecommons.org/licenses/https://library.oapen.org/handle/20.500.12657/33715
- Description based on online resource; title from PDF title page (ebrary, viewed May 11 , 2017).
- Other Format:
- Print version:
- ISBN:
- 9781920942663 (ebook)
- OCLC:
- 224869511
- Publisher Number:
- 10.26530/OAPEN_459293
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