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I think this article reads too much like a cookbook. There's a decided air of "how-to-do-it" about the whole thing, which is inappropriate in an encyclopedia. Perhaps it should be rephrased, to make it clear that we are considering alternative assumptions about the prior distribution (is it normal?
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Transformations are used to meet the assumpations of most parametric tests, surely not just regression analysis (pearsons correlation, ANOVA, t-tests etc)? The first paragraph suggests this is the most common procedure. Maybe change to read something like'...meet the assumptions of parametric
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I think we should include how the summary statistics (Median, Q1, Q3, IQR, Mean, Standard Dev, Min, Max) are altered when a number is added/subtracted or multiplied/divided to the values. --
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this does not even show how to use the transformation after the regression analysis or which transformation to use!
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Knowledge. If you would like to participate, please visit the project page, where you can join
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Not all statisticians agree on the skewness and kurtosis guidelines.
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log-normal? the square root of a normal variable? etc.)
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Please do expand on that. You have my support :) --
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