@Risk: Technical Details of Distribution Fitting
@RISK primarily uses Maximum Likelihood Estimators (MLEs) for distribution fitting, with proprietary enhancements developed over 30+ years to improve efficiency and handle edge cases. Not all distributions are fit the same way. Resources for Details: Search "Sample Data — Maximum Likelihood Estimators (MLEs)" and the related subtopic "Modifications to the MLE Method" in @RISK Help at https://help-risk.lumivero.com/v8/en/Home.htm For references to the methods, search "Merran" and open "Distributions and Distribution Fitting". Fit results include standard goodness-of-fit statistics such as AIC, BIC, Anderson-Darling, χ², Kolmogorov-Smirnov, and RMS (see "Fit Statistics" in Help).