Package org.processmining.plugins.stochasticpetrinet.simulator.timeseries

Class Summary

Class	Description
AutoArimaTimeSeries
AverageMethodTimeSeries	The simplest form of model to fit to a data set is the average.
DriftMethodTimeSeries	The drift method extrapolates a line through the first observation and the last observation for computing the next forecast.
LastObservationTimeSeries
NaiveMethodTimeSeries	The naive predictor for a time series simply returns the latest value as the predictor for the next one.
Observation<H>	An individual historical observation on which to base future predictions.
Prediction<T>
RTimeSeries<H>
SeasonalNaiveMethodTimeSeries	A naive seasonal forecast (forecasts the same value as the one observed in the last season)
TimeSeries<H>	A time series of values (might be durations, might be rates, might be anything)