Description Usage Arguments Value Note Author(s) References See Also Examples
An AR(p) model is fit to the time series using the AIC and then it is simulated.
1 2 |
obj |
a time series, class "ts" |
R |
number of bootstrap replicates |
... |
optional arguments |
A time series or vector.
Parametric and nonparametric time series bootstraps are discussed by Davison and Hinkley (1997, Ch.8.2).
A.I. McLeod and Y. Zhang
Davison, A.C. and Hinkley, D.V. (1997), Bootstrap Methods and Their Application. Cambridge University Press.
Boot.FitAR
.
Nonparametric bootstrap for time series is available
in the function tsboot
in the library boot
.
1 2 3 | layout(matrix(c(1,2,1,2),ncol=2))
TimeSeriesPlot(SeriesA)
TimeSeriesPlot(Boot(SeriesA),main="Bootstrap of Series A")
|
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