Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
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This work deals with nonstationary signals processing of blood cells. The signals under study are represented in a time-scale and statistical techniques are used to characterize their behavior and to identify a data pattern, then assuming that it will continue in the future, this data pattern is extrapolated in order to produce forecasts. The resulting fitted ARMA models allowed us to know in advance future values into a confidence range.