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It’s World Statistics Day! To honor the theme of the day, the JMP User Community is having conversations about the importance of trust in statistics and data. And we want to hear from you! Tell us the steps you take to ensure that your data is trustworthy.
I am trying to find a normalizing transform for my data so that I can model my data with the normal distribution.
I am using Analyze-Distribution by [my product], for all six of my Y variables.
I have two informal criteria:
1. AICc within 5 of the lowest AICc for any distribution for that Y var and product.
2. Shapiro-Wilk W test Prob<W >0.05.
This is telling me that the Johnson SU is overall definitely the best choice.
My question is, how do I tell JMP Fit-Model to use the Johnson SU distribution? I don't see the distribution option that should be there! ARRGGGHH.
I am not JSL literate yet. If I have to do the transforms manually (in Excel), is it as simple as calculating ASINH of each value then copying that into a data table? Then, on any conclusion, I have to transform back using SINH? Or is it more complicated? Do I have to include estimates of each of the four JSU parameters into the ASINH and SINH to do it properly?