In Chapter 2 we reviewed how to decompose a real, symmetric matrix into a product of simpler matrices while preserving the eigen-values of the original matrix. In Chapter 3 we examined how real, symmetric matrices arise from multivariate statistical analysis of data. These ideas are the starting point for understanding SSA.
KeywordsTime Record Multivariate Statistical Analysis Singular Vector Singular Spectrum Analysis Lorenz Equation
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