It would be nice if plfit could calculate the skewness and kurtosis of the sample so one could judge whether it is skewed and fat-tailed enough to be a power-law or not. (The rationale is that even a sample of 10000 items from a normal distribution with mean=50 and sd=10 could have a large p-value because xmin becomes large).
It would be nice if plfit could calculate the skewness and kurtosis of the sample so one could judge whether it is skewed and fat-tailed enough to be a power-law or not. (The rationale is that even a sample of 10000 items from a normal distribution with mean=50 and sd=10 could have a large p-value because xmin becomes large).