Titlebook: Nonlinear Dynamics and Statistics; Alistair I. Mees Book 2001 Springer Science+Business Media New York 2001 Monte Carlo method.Time series

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Henry D. I. Abarbanelmath formulas with a .Visual Guide. .A unified approach to TeX, LaTeX, and the AMS enhancements. .A quick introduction to creating presentations with formulas. .A detailed approach to creating illus978-3-031-55280-9978-3-031-55281-6

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Delay Reconstruction: Dynamics versus Statisticsmatic procedure that reconstructs an existing dynamical system. In this chapter we argue that it is as imprecise as all other parts of time series analysis and it should be subject to as much statistical scrutiny as procedures such as modeling, prediction and noise reduction.

原来

Some Remarks on the Statistical Modeling of Chaotic Systemsand understanding data from real-world dynamical systems. We present some new insights into the possibilities of obtaining consistent estimates for the invariants of a dynamical system, and some new results concerning noise-removal.

Exposition

978-1-4612-6648-8Springer Science+Business Media New York 2001

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https://doi.org/10.1007/978-1-4612-0177-9Monte Carlo method; Time series; behavior; data analysis; dynamical systems; modeling; nonlinear dynamics;

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