SSAförmåga
SSAförmåga is a term used in Swedish-language discourse to refer to the ability to apply Singular Spectrum Analysis (SSA) to time series data. SSA is a nonparametric decomposition method that separates a series into trend, oscillatory components, and noise by constructing a trajectory matrix, performing a singular value decomposition, and then grouping and reconstructing components.
A strong SSAförmåga involves selecting appropriate parameters (notably the window length), correctly grouping components, validating results
Practitioners use SSAförmåga across fields such as climatology, finance, and engineering, where time series exhibit evolving
Limitations include sensitivity to parameter choices, potential misinterpretation of extracted components, and the need for domain