[SciPy-User] Which stats package am I missing for a function to do L-moments to Pearson 3 parameters calculation?
Wed Nov 28 16:28:57 CST 2012
I'm writing a Python program which needs to compute Pearson Type III
parameters from L-moments, and then calculate the cumulative
distribution function (CDF) using those parameters.
For going from L-moments to Pearson parameters I've found a function
in the source for hydroclimpy (the _lmparams_pearson3 function in
trunk/hydroclimpy/scikits/hydroclimpy/stats/lmoments.py) which might
do the trick, although it uses L-statistics rather than L-moments as
its input, but I assume that that is an easy conversion. Is this a
good approach, or is there a better/more standard way of doing this?
The next step is to find a function that calculates the CDF for a
Pearson Type III distribution. It looks like I'll need to make sure
that I have a Pearson Type III continuous distribution installed, is
this correct? If so then where can I find these distribution classes
for installation, and/or how can I confirm that these are properly
Thanks in advance for any suggestions or comments. I'm a new Python
programmer and new to doing this kind of math; my apologies if this is
too much of an open-ended/beginner's question.
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