I have data that fits a lognormal distribution really well. My primary goal is to create a statistical classifier using this distribution to apply to new data from the same source. Essentially, I have 2 possible values, I choose the bigger one (based on the lognormal density) and then attach a statistical test score to that maximum probability.
As part of the output of this classifier, I would like to know the statistical significance of the difference between two values from the lognormal. For normal data, the z-score and Standard Error can be used, but is there an equivalent method for the lognormal?
Disclaimer: I've never worked with the lognormal and may be missing some very basic instincts on the distribution (but I have research as much as possible to understand it). Let me know if you need further information about my question to understand my goals.
As part of the output of this classifier, I would like to know the statistical significance of the difference between two values from the lognormal. For normal data, the z-score and Standard Error can be used, but is there an equivalent method for the lognormal?
Disclaimer: I've never worked with the lognormal and may be missing some very basic instincts on the distribution (but I have research as much as possible to understand it). Let me know if you need further information about my question to understand my goals.