Singular Spectrum Analysis for Time Series

by Unknown

★★★★☆
3.8 (619)

US$9.99

15% OFF CODE: SAVE15

Description

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 number of interpretable components such as trend, oscillatory components and noise. It is based on the singular value decomposition of a specific matrix constructed upon the time series. Neither a paramet

Explore Related Tags