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Predicting COVID-19 Pandemic in Saudi Arabia Using Modified Singular Spectrum Analysis
[post]
2020
unpublished
This research presents a modified Singular Spectrum Analysis (SSA) approach for the analysis of COVID-19 in Saudi Arabia. We have proposed this approach and developed it in [1–3] for separability and grouping step in SSA, which plays an important role for reconstruction and forecasting in the SSA. The modified SSA mainly enables us to identify the number of the interpretable components required for separability, signal extraction and noise reduction. The approach was examined using different
doi:10.21203/rs.3.rs-31199/v2
fatcat:wpvdvpof6rduvmsusu4i6dfuie