I am currently fitting above mentioned functions to my data and I can observe, that both lognormal and Weibull are better fits than powerlaw. In literature, it is often suggested, that it is hard to distinguish these functions, but I can in my data.
I do not completely understand the differences between them though. What might be an explanation for the underlying process that generates my data that I can infer from these results.
The underlying process I look at is the distribution of how many times users request a resource of a system. So for example, one resource got requested 1000 times, the next one 200 times and so on.
Hope someone can help me.
I do not completely understand the differences between them though. What might be an explanation for the underlying process that generates my data that I can infer from these results.
The underlying process I look at is the distribution of how many times users request a resource of a system. So for example, one resource got requested 1000 times, the next one 200 times and so on.
Hope someone can help me.