Nonlinear time series methods have developed rapidly over a quarter of a century and have reached an advanced state of maturity during the last decade. Implementations of these methods for experimental data are now widely accepted and fairly routine; however, genuinely useful applications remain rare. This book focuses on the practice of applying these methods to solve real problems. To illustrate the usefulness of these methods, a wide variety of physical and physiological systems are considered. The technical tools utilized in this book fall into three distinct, but interconnected areas: quantitative measures of nonlinear dynamics, Monte-Carlo statistical hypothesis testing, and nonlinear modeling. Ten highly detailed applications serve as case studies of fruitful applications and illustrate the mathematical techniques described in the text.
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Inside This Book
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First Sentence:
Nonlinear time series analysis is the study of time series data with computational techniques sensitive to nonlinearity in the data. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Hong Kong, Applied Nonlinear Time Series Analysis New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Nonlinear time series analysis is the study of time series data with computational techniques sensitive to nonlinearity in the data. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Hong Kong, Applied Nonlinear Time Series Analysis New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 19
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cites this book:
- Cellular Neural Networks by Tamás Roska in Front Matter
- Introduction to Approximation Theory (AMS Chelsea Publishing) by Elliott W. Cheney in Back Matter
- Regulation of Breathing (Lung Biology in Health and Disease) by Jerome A. Dempsey in Back Matter
- Rhode Island (United States) by Julie Murray in Back Matter
- Bifurcation and Chaos in Nonsmooth Mechanical Systems (World Scientific Series on Nonlinear Science: Series A) (v. 45) by J. Awrejcewicz in Front Matter
See all 19 books this book cites
- Complexus Mundi: Emergent Patterns in Nature by Miroslav M. Novak on page 133
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