[SciPy-User] Fitting a curve on a log-normal distributed data
Mon Nov 16 23:51:19 CST 2009
On Mon, Nov 16, 2009 at 23:44, Gökhan Sever <email@example.com> wrote:
> I have a data which represents aerosol size distribution in between 0.1 to
> 3.0 micrometer ranges. I would like extrapolate the lower size down to 10
> nm. The data in this context is log-normally distributed. Therefore I am
> looking a way to fit a log-normal curve onto my data. Could you please give
> me some pointers to solve this problem?
Transform the data y=log(x) then estimate the mean and variance of y.
With the appropriate transformations (which you will have to look up
depending on the convention of the log-normal calculations that you
are using), these are reasonable estimates of the log-normal
distribution for your data.
Or you could just stay in the transformed space.
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
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