Update Gompertz posts to point to sawsim and mention better parameter estimation.
authorW. Trevor King <wking@drexel.edu>
Wed, 17 Nov 2010 13:23:24 +0000 (08:23 -0500)
committerW. Trevor King <wking@drexel.edu>
Wed, 17 Nov 2010 13:23:24 +0000 (08:23 -0500)
posts/Giving_up_on_Gompertz_theory.mdwn
posts/Gompertz_paper.mdwn

index 9fa672a22935fbe71123104e9450d0e616d3bb1e..e3bbbaace8cf1e1f58f2df96ec689107bb9504bd 100644 (file)
@@ -5,4 +5,13 @@ I now have a heuristic which seems to work :p, and I suppose I'll be satisfied w
 
 On to find out about analytic solutions to Kramers' unfolding rates.
 
+Update: I found a better [reference][] while writing my [[sawsim]]
+paper, listing the mean and standard deviation of the Gumbel
+distribution.  So many names...  Anyway, the `pysawsim` tests now use
+the [improved guessing procedure][].
+
+[reference]: http://www.itl.nist.gov/div898/handbook/eda/section3/eda366g.htm
+[improved guessing procedure]: http://www.physics.drexel.edu/~wking/code/git/gitweb.cgi?p=sawsim.git;a=blob;f=pysawsim/test/bell_rate.py;hb=837c425eaeccae280cc7f7784d03dfcfcb03678c#l106
+
+[[!tag tags/sawsim]]
 [[!tag tags/theory]]
index df13c208839d8cc02b17a4c7caa0f459dcc328e6..795d03767540240d5bfa84ef25f6851985c92f39 100644 (file)
@@ -9,4 +9,5 @@ All the non-symbolic math was starting to confuse me, so I went back and Googled
 It even talks about probability density functions.
 I dunno if I'm ready for another relationship yet though, I've been hurt so many times before ;).
 
+[[!tag tags/sawsim]]
 [[!tag tags/theory]]