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April 5th, 2019, 01:21 AM  #1 
Newbie Joined: Apr 2019 From: London Posts: 1 Thanks: 0  Comparing Distributions of Datasets
I've been asked to find a method to best compare the distribution of a number datasets that have small sample sizes. Bonus points for a solution/result that is in a scale of 01, i.e. a distribution approaching 1 is bordering on perfectly unequal and a distribution approaching 0 is bordering on perfectly equal. Some examples within this dataset include:
I first thought of the Gini coefficient, which is precisely about distribution and gives values between 01. However it seems the Gini has a 'smallsample bias' that limits its use here, where each of the datapoints have between 1 and c.10 values. I then considered the coefficient of variance, however given results can go higher than 1 this also isn't well suited to this problem. Any pointers would be greatly appreciated! 
April 5th, 2019, 01:58 AM  #2 
Senior Member Joined: Oct 2009 Posts: 772 Thanks: 279 
What about entropy?


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comparing, datasets, distributions 
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