Nonlinear Time Series Analysis

✍ Holger Kantz, Thomas Schreiber 📂 Library 📅 2004 🏛 Cambridge University Press 🌐 English

The time variability of many natural and social phenomena is not well described by standard methods of data analysis. However, nonlinear time series analysis uses chaos theory and nonlinear dynamics to understand seemingly unpredictable behavior. The results are applied to real data from physics, bi

📁 Nonlinear Time Series Analysis

✍ Ruey S. Tsay, Rong Chen 📂 Library 📅 2018 🏛 Wiley 🌐 English

A comprehensive resource that draws a balance between theory and applications of nonlinear time series analysis Nonlinear Time Series Analysis offers an important guide to both parametric and nonparametric methods, nonlinear state-space models, and Bayesian as well as classical approaches to nonline

Nonlinear time series analysis

📁 Nonlinear time series analysis

✍ Chen, Rong; Tsay, Ruey S 📂 Library 📅 2019 🏛 John Wiley & Sons 🌐 English

A comprehensive resource that draws a balance between theory and applications of nonlinear time series analysis Nonlinear Time Series Analysis offers an important guide to both parametric and nonparametric methods, nonlinear state-space models, and Bayesian as well as classical approaches to nonline

Nonlinear Time Series Analysis

📁 Nonlinear Time Series Analysis

✍ Holger Kantz, Thomas Schreiber 📂 Library 📅 2004 🏛 Cambridge University Press 🌐 English

<span>The time variability of many natural and social phenomena is not well described by standard methods of data analysis. However, nonlinear time series analysis uses chaos theory and nonlinear dynamics to understand seemingly unpredictable behavior. The results are applied to real data from physi

Nonlinear Time Series Analysis

📁 Nonlinear Time Series Analysis

✍ Holger Kantz, Thomas Schreiber 📂 Library 📅 2003 🏛 Cambridge University Press 🌐 English

The paradigm of deterministic chaos has influenced thinking in many fields of science. Chaotic systems show rich and surprising mathematical structures. In the applied sciences, deterministic chaos provides a striking explanation for irregular behaviour and anomalies in systems which do not seem to

Nonlinear Time Series Analysis with R

📁 Nonlinear Time Series Analysis with R

✍ Ray Huffaker, Marco Bittelli, Rodolfo Rosa 📂 Library 📅 2017 🏛 Oxford University Press 🌐 English

<em>Nonlinear Time Series Analysis with R</em> provides a practical guide to emerging empirical techniques allowing practitioners to diagnose whether highly fluctuating and random appearing data are most likely driven by random or deterministic dynamic forces. It joins the chorus of voices recommend