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Nonlinear Dynamics and Statistics (Softcover Reprint of the Original 1st 2001)

Nonlinear Dynamics and Statistics

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"Nonlinear Dynamics and Statistics" by Alistair I. Mees is a mathematics book and learning resource focused on Dynamics. Best for teachers, students, and readers looking for stronger mathematical understanding.

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.

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Best For: Researchers and students in applied and theoretical nonlinear dynamics, statistics, probability, and systems theory.
Focus: Nonlinear dynamical reconstruction theory and methods for analyzing complex systems.
Covers: Theory and methods from nonlinear dynamics, statistics, probability, and systems theory presented by leading researchers.
Why It Matters: Provides current approaches to understanding and predicting complex nonlinear systems by addressing uncertainty and error in dynamic reconstruction.

"Nonlinear Dynamics and Statistics" by Alistair I. Mees is a mathematics book and learning resource focused on Dynamics. Best for teachers, students, and readers looking for stronger mathematical understanding.

Topic: Dynamics

Author: Alistair I. Mees

Who this is for:

  • Teachers and classroom instructors
  • Students building subject mastery
  • Readers looking for practical learning support

Why this book matters: It stands out as a practical math resource that helps explain concepts, strengthen problem-solving, and support classroom or independent learning.

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.

AuthorAlistair I. Mees
PublisherBirkhäuser
Published2012-11-05
ISBN-139781461266488
BindingPaperback
LanguageEnglish
SubjectsBusiness & Economics
TopicDynamics

Format: Paperback

Language: English

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