1 [[!meta title="Giving up on Gompertz theory"]]
2 [[!meta date="2008-06-30 21:22:51"]]
3 I think I've spent enough time trying to find a nice analytic way to guess parameters for a Gompertz model fit to my unfolding probability densities.
4 I now have a heuristic which seems to work :p, and I suppose I'll be satisfied with that for the time being.
6 On to find out about analytic solutions to Kramers' unfolding rates.
8 Update: I figured out how to use the [NIST reference][] while writing
9 my [[sawsim]] paper, listing the mean and standard deviation of the
10 Gumbel distribution. So many names… Anyway, the `pysawsim` tests
11 now use the [improved guessing procedure][guess].
13 [NIST reference]: http://www.itl.nist.gov/div898/handbook/eda/section3/eda366g.htm
14 [guess]: http://git.tremily.us/?p=sawsim.git;a=blob;f=pysawsim/test/bell_rate.py;hb=837c425eaeccae280cc7f7784d03dfcfcb03678c#l106