Uses of Class
dev.nm.stat.timeseries.datastructure.univariate.realtime.inttime.SimpleTimeSeries

Packages that use SimpleTimeSeries

Package	Description
dev.nm.stat.timeseries.datastructure.univariate.realtime.inttime
dev.nm.stat.timeseries.linear.univariate.stationaryprocess

Uses of SimpleTimeSeries in dev.nm.stat.timeseries.datastructure.univariate.realtime.inttime

Methods in dev.nm.stat.timeseries.datastructure.univariate.realtime.inttime that return SimpleTimeSeries

Modifier and Type	Method and Description
SimpleTimeSeries	SimpleTimeSeries.diff(int d) Constructs an instance of SimpleTimeSeries by taking the first difference d times.
SimpleTimeSeries	SimpleTimeSeries.drop(int nItems) Constructs an instance of SimpleTimeSeries by dropping the leading nItems entries.
SimpleTimeSeries	SimpleTimeSeries.lag(int nLags) Constructs an instance of SimpleTimeSeries by lagging the time series.
SimpleTimeSeries	SimpleTimeSeries.lag(int nLags, int length) Constructs an instance of SimpleTimeSeries by lagging the time series.

Uses of SimpleTimeSeries in dev.nm.stat.timeseries.linear.univariate.stationaryprocess

Subclasses of SimpleTimeSeries in dev.nm.stat.timeseries.linear.univariate.stationaryprocess

Modifier and Type	Class and Description
class	AdditiveModel The additive model of a time series is an additive composite of the trend, seasonality and irregular random components. \[ Y[t] = T[t] + S[t] + e[t] \]
class	MultiplicativeModel The multiplicative model of a time series is a multiplicative composite of the trend, seasonality and irregular random components. \[ Y[t] = T[t] \cdot S[t] \cdot e[t] \]