Add the Anderson-Darling (AD) test without assumed parameters into the Fit Distribution module and/or workspace node. This way we could use the AD statistics to quickly rank and decide the best distribution to use for our regular reports. As it stands now, the parameters are assumed, which are scale (Mean) and shape (Std. Dev).
We're happy to share that the Anderson-Darling test is now available without assumed parameters in Statistica 14.3. Our release notes can be found here: https://docs.tibco.com/pub/stat/14.3.0/SPOT_stat_14.3.0_relnotes.pdf?id=1