The peculiarities of new method of analysis of time series - singular spectrum analysis have been considered, advantages of the method and problems connected with it application have been discussed. To increase the accuracy of trend extraction and elimination of edge effects the prediction of the series in both ends was suggested to be used. The singular spectrum analysis was applied to time series of satellite data of total ozone in latitude rings from 40 to 60° in Northern and Southern hemispheres. The trends were found. It was shown that for 1998-2005 in this ring the total ozone decreases by 0,38 %±0,01 % per year in Northern hemisphere and by 0,10 %±0,01 % per year in Southern hemisphere. It is no wonder because the most part of ozone ...
In this paper, the Singular Spectrum Analysis (SSA) is presented and applied in the US air traffic e...
Singular spectrum analysis (SSA) is a method of time-series analysis based on the singular value dec...
In recent years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analys...
In recent years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analys...
Singular Spectrum Analysis (SSA) is a method for decomposing and forecasting time series that recent...
Over the last 15 years, singular spectrum analysis (SSA) has proven very successful. It has already ...
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...
Over the last 15 years, singular spectrum analysis (SSA) has proven very successful. It has already ...
EnIn the last few years Singular Spectrum Analysis (SSA), a powerful tool in time series In the last...
AbstractIn this paper, we present a method of utilizing spatial information, usually intrinsic in sp...
The information technology of forecasting non-stationary time series data, which cannot be reduced t...
AbstractIn this paper, we present a method of utilizing spatial information, usually intrinsic in sp...
In this paper, we present a method for utilizing the usually intrinsic spatial information in spatia...
In this paper, the Singular Spectrum Analysis (SSA) is presented and applied in the US air traffic e...
In this paper, the Singular Spectrum Analysis (SSA) is presented and applied in the US air traffic e...
Singular spectrum analysis (SSA) is a method of time-series analysis based on the singular value dec...
In recent years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analys...
In recent years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analys...
Singular Spectrum Analysis (SSA) is a method for decomposing and forecasting time series that recent...
Over the last 15 years, singular spectrum analysis (SSA) has proven very successful. It has already ...
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...
Over the last 15 years, singular spectrum analysis (SSA) has proven very successful. It has already ...
EnIn the last few years Singular Spectrum Analysis (SSA), a powerful tool in time series In the last...
AbstractIn this paper, we present a method of utilizing spatial information, usually intrinsic in sp...
The information technology of forecasting non-stationary time series data, which cannot be reduced t...
AbstractIn this paper, we present a method of utilizing spatial information, usually intrinsic in sp...
In this paper, we present a method for utilizing the usually intrinsic spatial information in spatia...
In this paper, the Singular Spectrum Analysis (SSA) is presented and applied in the US air traffic e...
In this paper, the Singular Spectrum Analysis (SSA) is presented and applied in the US air traffic e...
Singular spectrum analysis (SSA) is a method of time-series analysis based on the singular value dec...
In recent years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analys...