Controls whether a parametric bootstrap or a nonparametric bootstrap (Efron & Tibshirani, 1993) is performed.
When the MonteCarlo method is used, bootstrap samples are drawn from a multivariate normal population whose means, variances and covariances are the same as the sample means, variances and covariances.
Syntax
object.MonteCarlo ()
object.MonteCarlo (tf)
The MonteCarlo method syntax has the following parts:
Part |
Description |
object |
An object of type AmosEngine. |
tf |
True (default) specifies a parametric bootstrap. False specifies a nonparametric bootstrap. |
Placement: [1].
Default
A nonparametric bootstrap is performed. (Bootstrap samples are drawn with replacement from the original sample. Raw data input is required.)
Remarks
MonteCarlo allows bootstrapping to be carried out (with the assumption of normality) when raw data are not available. If you do not use the Bootstrap method, the MonteCarlo method has no effect.
See Also