Earthquake Magnitude and Frequency Forecasting in Northeastern Algeria using Time Series Analysis

This study uses two different time series forecasting approaches (parametric and non-parametric) to assess a frequency magnitude of earthquakes above Mw 4.0 in Northeastern Algeria. The Autoregressive Integrated Moving Average (ARIMA) model encompasses the parametric approach, while non-parametric method employs Singular Spectrum Analysis (SSA) approach. ARIMA SSA models were then used train forecast annual number maximum events occurring Algeria between 1910 2019, including 287 main larger than 4.0. is as algorithm this case, results are compared those obtained by model. Based on root mean square error (RMSE) criterion, appears be more appropriate consistency observation analyzed using statistical test terms total events, denoted N-test. As result, findings indicate that 2020 2030 will range from 4.8 5.1, four six with at least occur annually.