Singular Spectrum Analysis for Time Series
Singular spectrum analysis (SSA) is a technique of time series analysis and forecasting combining elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. SSA seeks to decompose the original series into a sum of a small numb...
Main Authors: | Golyandina, Nina (Author), Zhigljavsky, Anatoly (Author) |
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Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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Series: | SpringerBriefs in Statistics,
|
Subjects: | |
Online Access: | Full Text via HEAL-Link |
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