Chaos and Forecasting (Nonlinear Time Series and Chaos, 2) - Hardcover

Hardcover

ISBN 10: 9810221266 ISBN 13: 9789810221263

Publisher: World Scientific Pub Co Inc, 1995

Synopsis

It is now generally recognised that very simple dynamical systems can produce apparently random behaviour. In the last couple of years, attention has turned to focus on the flip-side of this coin: random-looking time series (or random-looking patterns in space) may indeed be the result of very complicated processes or "real noise", but they may equally well be produced by some very simple mechanism (a low-dimensional attractor). In either case, a long-term prediction will be possible only in probabilistic terms. However, in the very short term, random systems will still be unpredictable but low-dimensional chaotic ones may be predictable (appearances to the contrary). The Royal Society held a two-day discussion meeting on topics covering diverse fields, including biology, economics, geophysics, meterology, statistics, epidemiology, earthquake science and many others. Each topic was covered by a leading expert in the field. The meeting dealt with different basic approaches to the problem of chaos and forecasting, and covered applications to nonlinear forecasting of both artificially-generated time series and real data from context in the above-mentioned diverse fields. This book marks a rather special and rare occasion in which prominent scientists from different areas converge on the same theme. It forms an informative introduction to the science of chaos, with special reference to real data.

About this title

Review

"... useful and recommended for forecast researchers striving for a more realistic methodology that goes substantially beyond conventional statistical theory." -- M A Kaboudan

Edition details

• Publisher: World Scientific Pub Co Inc
• Publication date: 1995
• ISBN 10: 9810221266
• ISBN 13: 9789810221263
• Binding: Hardcover
• Language: English
• Number of pages: 356
• Editor: Tong H.