Nonlinear Dynamics and Statistics

nonlinear dynamics and statistics

more information about Nonlinear Dynamics and Statistics

Nonlinear Dynamics and Statistics

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Book Description
Recently, a great deal of progress has been made in the modeling and understanding of processes with nonlinear dynamics, even when only time series data are available. Modern reconstruction theory deals with creating nonlinear dynamical models from data and is at the heart of this improved understanding. Most of the work has been done by dynamicists, but for the subject to reach maturity, statisticians and signal processing engineers need to provide input both to the theory and to the practice. The book brings together different approaches to nonlinear time series analysis in order to begin a synthesis that will lead to better theory and practice in all the related areas. This book describes the state of the art in nonlinear dynamical reconstruction theory. The chapters are based upon a workshop held at the Isaac Newton Institute, Cambridge University, UK, in late 1998. The book's chapters present theory and methods topics by leading researchers in applied and theoretical nonlinear dynamics, statistics, probability, and systems theory. Features and topics: * disentangling uncertainty and error: the predictability of nonlinear systems * achieving good nonlinear models * delay reconstructions: dynamics vs. statistics * introduction to Monte Carlo Methods for Bayesian Data Analysis * latest results in extracting dynamical behavior via Markov Models * data compression, dynamics and stationarity Professionals, researchers, and advanced graduates in nonlinear dynamics, probability, optimization, and systems theory will find the book a useful resource and guide to current developments in the subject.

Book Info
Describes the state of the art in nonlinear dynamical reconstruction theory, based on a workshop held in 1998 at Cambridge University, UK. Covers Monte Carlo methods, tackling bounded noise in a chaotic system, achieving good nonlinear models, and statistical modeling of chaotic systems. DLC: Dynamics.

Nonlinear Dynamics and Statistics,Alistair I. Mees,Birkhauser,0817641637,Advanced,Analytic Mechanics (Mathematical Aspects),Applied,Dynamics,Engineering - General,Mathematical Statistics,Mathematics,Mechanics - Dynamics - General,Nonlinear theories,Probability & Statistics - General,Science/Mathematics,Time-series analysis,Differential equations,Mathematics / Linear Programming,Non-linear science,Optimization

Books Info:

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  2. Nonlinear Problems in Machine Design
  3. Nonlinear Smoothing and Multiresolution Analysis (International Series of Numerical Mathematics)
  4. Nonlinear Waves in Elastic Media
  5. Numerical Analysis 1995
  6. Numerical Analysis 2000 : Interpolation and Extrapolation (Journal of Computational and Applied Mathematics, Volume 122, Numbers 1-2, 1 October 2000)
  7. Numerical Methods in Mechanics
  8. Optimal Control of Nonlinear Parabolic Systems (Pure and Applied Mathematics (Marcel Dekker))
  9. Optimization and Optimal Control (Computers and Operations Research)
  10. Orthogonal Functions, Moment Theory, and Continued Fractions (Lecture Notes in Pure and Applied Mathematics) (Lecture Notes in Pure and Applied Mathematics)

Books Info

Books Info

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