HIGHLIGHTS
- who: (PCA and colleagues from the Department of Computer Science, College of Science, University of Baghdad, Aljadirya, Baghdad , have published the research work: Decomposition of Dynamical Signals into Jumps Oscillatory Patterns and Possible Outliers, in the Journal: Mathematics 2018, 6, 124 of /2018/
- what: The authors demonstrate the efficiency of the approach via simulations results and real data analysis. The aim of this work is to propose a simple and efficient scheme for time series decomposition into trend, seasonality, outliers, and noise components. Existing software, e_g, X-12-ARIMA, TRAMO-SEATS, and STAMP, is available . . .
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