Analysis of Time Series Structure - SSA and Related Techniques

By Nina Golyandina, V. Nekrutkin, Anatoly A. Zhigljavsky. Monographs on statistics and applied probability, 2001

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Empirical orthogonal functions and related techniques in atmospheric science: A review (2007, methodology): “The method can also be applied to nonstationary time series, (see e.g. Elsner and Tsonis 1996, and Golyandina et al. 2001) for further details.”
Forecasting Accuracy Evaluation of Tourist Arrivals: Evidence from Parametric and Non-Parametric Techniques (2015, unknown): “Decomposition and Reconstruction), are directed to Hassani (2007); Golyandina et al. (2001). Figure 1 presents a summary of the basic SSA process.”
A Review of Some Modern Approaches to the Problem of Trend Extraction (2012, background): “His separability theory provides instructions for choosing L according to the properties of assumed components of a time series, such as trend, periodical components, and noise (Golyandina et al., 2001, Chapter 6).”