Tue Mar 30 16:04:24 CDT 2010
I am trying to create a series of random variables selected from a distribution. I would like this distribution to start as a normal distribution, but then be altered based on assumptions of skewness and kurtosis (so I am not calculating skewness/kurtosis from a dataset, but instead creating the probability density function from assumptions of skewness/kurtosis). I can create a normal distribution and then pull random variables from this, and was wondering if it is possible to create a distribution based on assumptions of skewness and kurtosis?
Hotmail: Trusted email with Microsoft’s powerful SPAM protection.
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the SciPy-User