Menu: View→Analysis Properties→Bootstrap→Bootstrap ML
Displays a histogram of the discrepancies,
,
where is the vector of sample moments, B is the number of bootstrap samples and is the vector of implied moments obtained by fitting the model to the b-th bootstrap sample. The mean and standard deviation of the distribution are also reported.
For more information, see the BootMl method of the AmosEngine class.
Programming
In Amos Graphics programs, you can put a check mark in this check box by using the following statement (Visual Basic):
pd.GetCheckBox("AnalysisPropertiesForm", "BootMLCheck").Checked = True