if TRUE (default) and order.ar > 1, returns a scatterplot matrix of the bootstrapped parameters, - the diagonals show a histogram.
...
if plot=TRUE and order.ar > 1, graphical parameters sent to tspairs
Author
D.S. Stoffer
Details
For a specified series, finds the bootstrap distribution of the
Yule-Walker estimates of \(\phi_1,\dots,\phi_p\) in the AR model specified by order.ar,
$$x_t = \mu + \phi_1 (x_{t-1}-\mu) + \dots + \phi_p (x_{t-p}-\mu) + w_t ,$$
where \(w_t\) is white noise. The data are centered by the estimate of \(\mu\)
prior to the bootstrap simulations.
The script displays a number of quantiles of the bootstrapped estimates, the means, the biases, and the root mean squared errors.
References
You can find demonstrations of astsa capabilities at
FUN WITH ASTSA.
if (FALSE) {
u = ar.boot(rec, 2)
dev.new()
tspairs(u[[1]], hist=FALSE) # another view of resultshead(u[[1]]) # some booted AR parametershead(u[[2]][,1:5]) # some booted data}