Nonlinear Time Series Analysis by Holger Kantz
Deterministic chaos provides a novel framework for the analysis of irregular time series. Traditionally, nonperiodic signals are modeled by linear stochastic processes. But even very simple chaotic dynamical systems can exhibit strongly irregular time evolution without random inputs. Chaos theory offers completely new concepts and algorithms for time series analysis which can lead to a thorough understanding of the signal. The book introduces a broad choice of such concepts and methods, including phase space embeddings, nonlinear prediction and noise reduction, Lyapunov exponents, dimensions and entropies, as well as statistical tests for nonlinearity. Related topics like chaos control, wavelet analysis and pattern dynamics are also discussed. Applications range from high quality, strictly deterministic laboratory data to short, noisy sequences which typically occur in medicine, biology, geophysics or the social sciences. All material is discussed and illustrated using real experimental data.| SKU | Unavailable |
| ISBN 13 | 9780521653879 |
| ISBN 10 | 0521653878 |
| Title | Nonlinear Time Series Analysis |
| Author | Holger Kantz |
| Series | Cambridge Nonlinear Science Series |
| Condition | Unavailable |
| Binding type | Paperback |
| Publisher | Cambridge University Press |
| Year published | 1999-06-17 |
| Number of pages | 320 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |