Time-series forecasting is essential for system analysis. Many traditional studies have paid attention to individual …. Therefore, the proposed novel distance-based moving-average methodology designed for financial time-series analysis demonstrates … that it guides a new perspective in nonlinear time-series trends. …

analysis is conducted using different time-series models. This study contributes to (Sustainable Development Goal) SDG-3 by … predicting epidemics disease trends precisely using ARIMA, Polynomial Regression, SARIMA, Holt's, Fb-Prophet time-series models …

of final and official statistics. We propose the use of a multivariate structural time series model which includes common …