Different result in lognormal parameter mu

[siemp...@gmail.com]

In the powerlaw package,

from the blackout data, i get 

alpha=2.27294151618296

xmin=230.0

mu=0.11187397927010287.

But when I use the scipy module, I get the result as follows:

y=stats.lognorm.fit(x)

Out[16]: (1.3552951967493034, -1.8967595989237462, 98.50870652291903)

scale=y[2]

np.log(scale)

Out[17]: 4.590056548178043

Furthermore, in matlab and R there are same mu value like using scipy.

Plz tell me why those results are different. 

Thanks.

[Jeff Alstott]

I think you need to read the documentation of scipy and powerlaw more closely. They do very different things. For example, "xmin" is not a concept for scipy. 

--
You received this message because you are subscribed to the Google Groups "powerlaw-general" group.
To unsubscribe from this group and stop receiving emails from it, send an email to powerlaw-gener...@googlegroups.com.
For more options, visit https://groups.google.com/d/optout.

[siemp...@gmail.com]

Thanks Jeff.

I have been understanding the concept of the algorithm. 

I would like to express my sincere appreciation for this package.

2018년 9월 27일 목요일 오전 11시 20분 31초 UTC+9, Jeff 님의 말: