This paper describes the methodology of singular spectrum analysis (SSA) and demonstrate that it is a powerful method of time series analysis and forecasting, particulary for economic time series. The authors consider the application of SSA to the analysis and forecasting of the Iranian national accounts data as provided by the Central Bank of the Islamic Republic of Iran
We present and apply the Singular Spectrum Analysis (SSA), a relatively new, non-parametric and data...
In this paper, the Singular Spectrum Analysis (SSA), a relatively new tool originated in natural sci...
SSA is a relatively new non-parametric data-driven technique in time series analysis, has been devel...
This paper describes the methodology of singular spectrum analysis (SSA) and demonstrate that it is ...
In recent years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analys...
We use the Singular Spectrum Analysis (SSA), a forecasting method which is based on the noise reduct...
Singular Spectrum Analysis (SSA) is a relatively new and powerful nonparametric tool for analyzing a...
In recent years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analys...
Over the last 15 years, singular spectrum analysis (SSA) has proven very successful. It has already ...
In recent years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analys...
Singular Spectrum Analysis (SSA) is a nonparametric time series analysis and forecasting technique w...
A time series is a series of observations of a variable that is collected, recorded, or observed ove...
The information technology of forecasting non-stationary time series data, which cannot be reduced t...
Singular Spectrum Analysis (SSA) is a non-parametric technique that allows the decomposition of a ti...
We present and apply the Singular Spectrum Analysis (SSA), a relatively new, non-parametric and data...
In this paper, the Singular Spectrum Analysis (SSA), a relatively new tool originated in natural sci...
SSA is a relatively new non-parametric data-driven technique in time series analysis, has been devel...
This paper describes the methodology of singular spectrum analysis (SSA) and demonstrate that it is ...
In recent years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analys...
We use the Singular Spectrum Analysis (SSA), a forecasting method which is based on the noise reduct...
Singular Spectrum Analysis (SSA) is a relatively new and powerful nonparametric tool for analyzing a...
In recent years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analys...
Over the last 15 years, singular spectrum analysis (SSA) has proven very successful. It has already ...
In recent years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analys...
Singular Spectrum Analysis (SSA) is a nonparametric time series analysis and forecasting technique w...
A time series is a series of observations of a variable that is collected, recorded, or observed ove...
The information technology of forecasting non-stationary time series data, which cannot be reduced t...
Singular Spectrum Analysis (SSA) is a non-parametric technique that allows the decomposition of a ti...
We present and apply the Singular Spectrum Analysis (SSA), a relatively new, non-parametric and data...
In this paper, the Singular Spectrum Analysis (SSA), a relatively new tool originated in natural sci...
SSA is a relatively new non-parametric data-driven technique in time series analysis, has been devel...