Practical implementation of nonlinear time series methods: The TISEAN package

Practical implementation of nonlinear time series methods: The TISEAN package

30 Sep 1998 | Rainer Hegger, Holger Kantz, Thomas Schreiber
The paper discusses the implementation and practical application of nonlinear time series analysis methods, focusing on the TISEAN software package. It covers various algorithms for data representation, prediction, noise reduction, dimension and Lyapunov estimation, and nonlinearity testing. The authors emphasize the importance of parameter selection and provide guidance on choosing appropriate parameters for specific time series applications. The paper also includes a detailed description of the theoretical background and references to relevant literature. The TISEAN package is publicly available and serves as a comprehensive tool for researchers and practitioners in the field of nonlinear dynamics and time series analysis.The paper discusses the implementation and practical application of nonlinear time series analysis methods, focusing on the TISEAN software package. It covers various algorithms for data representation, prediction, noise reduction, dimension and Lyapunov estimation, and nonlinearity testing. The authors emphasize the importance of parameter selection and provide guidance on choosing appropriate parameters for specific time series applications. The paper also includes a detailed description of the theoretical background and references to relevant literature. The TISEAN package is publicly available and serves as a comprehensive tool for researchers and practitioners in the field of nonlinear dynamics and time series analysis.
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