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Nonlinear analysis of magnetospheric data Part II. Dynamical characteristics of the AE index time series and comparison with nonlinear surrogate data
Nonlinear analysis magnetospheric data Dynamical characteristics AE index time series
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2009/11/13
In this study we have used dynamical characteristies such as Lyapunov exponents, nonlinear dynamic models and mutual information for the nonlinear analysis of the magnetospheric AE index time series. ...
Nonlinear analysis of magnetospheric data Part I. Geometric characteristics of the AE index time series and comparison with nonlinear surrogate data
Nonlinear analysis magnetospheric data Geometric characteristics AE index time series
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2009/11/13
A long AE index time series is used as a crucial magnetospheric quantity in order to study the underlying dynainics. For this purpose we utilize methods of nonlinear and chaotic analysis of time serie...
Streamflow dynamics at the Puget Sound,Washington:application of a surrogate data method
Streamflow dynamics Puget Sound surrogate data method
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2009/11/9
Recent progress in nonlinear dynamic theory has inspired hydrologists to apply innovative nonlinear time series techniques to the analysis of streamflow data. However, regardless of the method employe...
Statistical characteristics of surrogate data based on geophysical measurements
Statistical characteristics surrogate data geophysical measurements
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2009/11/9
In this study, the statistical properties of a range of measurements are compared with those of their surrogate time series. Seven different records are studied, amongst others, historical time series...
Improved preservation of autocorrelative structure in surrogate data using an initial wavelet step
preservation autocorrelative structure surrogate data initial wavelet step
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2009/11/2
Surrogate data generation algorithms are useful for hypothesis testing or for generating realisations of a process for data extension or modelling purposes. This paper tests a well known surrogate dat...