Trend analysis using non-stationary time series clustering based on the finite element method
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Trend analysis using non-stationary time series clustering based on the finite element method ; volume:21 ; number:3 ; year:2014 ; pages:605-615
Nonlinear processes in geophysics ; 21, Heft 3 (2014), 605-615
- Creator
-
Gorji Sefidmazgi, M.
Sayemuzzaman, M.
Homaifar, A.
Jha, M. K.
Liess, S.
- DOI
-
10.5194/npg-21-605-2014
- URN
-
urn:nbn:de:101:1-201710284042
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:35 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Gorji Sefidmazgi, M.
- Sayemuzzaman, M.
- Homaifar, A.
- Jha, M. K.
- Liess, S.
Other Objects (12)
Extremal clustering in non-stationary random sequences
Spurious relationships for nearly non-stationary series
Wavelet analysis for non-stationary, nonlinear time series
Detecting long-range dependence in non-stationary time series
Non-stationary Wave Turbulence
Efficient transfer entropy analysis of non-stationary neural time series
Bootstrapping Non-Stationary Stochastic Volatility
Non-stationary optical homodyne tomography
Learning in non-stationary Environments
Stationary Subspace Analysis: Towards understanding non-stationary data
Factor models for non-stationary series: Estimates of monthly U.S. GDP
The Analysis of Non-Stationary Pooled Time-Series Cross-Section-Data
Extremal clustering in non-stationary random sequences
Spurious relationships for nearly non-stationary series
Wavelet analysis for non-stationary, nonlinear time series
Detecting long-range dependence in non-stationary time series
Non-stationary Wave Turbulence
Efficient transfer entropy analysis of non-stationary neural time series
Bootstrapping Non-Stationary Stochastic Volatility
Non-stationary optical homodyne tomography
Learning in non-stationary Environments
Stationary Subspace Analysis: Towards understanding non-stationary data
Factor models for non-stationary series: Estimates of monthly U.S. GDP
The Analysis of Non-Stationary Pooled Time-Series Cross-Section-Data
Extremal clustering in non-stationary random sequences
Spurious relationships for nearly non-stationary series
Wavelet analysis for non-stationary, nonlinear time series
Detecting long-range dependence in non-stationary time series
Non-stationary Wave Turbulence
Efficient transfer entropy analysis of non-stationary neural time series
Bootstrapping Non-Stationary Stochastic Volatility
Non-stationary optical homodyne tomography
Learning in non-stationary Environments
Stationary Subspace Analysis: Towards understanding non-stationary data
Factor models for non-stationary series: Estimates of monthly U.S. GDP