Skip to main content
13 events
when toggle format what by license comment
May 25, 2015 at 19:50 comment added JimB @Jagra. You state "I have conjectured that if one takes sufficient observations the data will eventually converge to an exponential distribution." I'm not following. If you give the pdf (which is for a single observation), how can that pdf "converge" to anything with increasing sample size? I can see the distribution converging to something else if a parameter or two goes off to infinity (or approaches some appropriate constants). The pdf you give does not depend on sample size or any specified parameter. What am I missing?
May 25, 2015 at 15:57 comment added Histograms Doesn't one typically do this by minimizing the KL-Divergence? I guess those intergrals would be too hard to do and the random variates approach is best.
May 25, 2015 at 14:54 history edited J. M.'s missing motivation
edited tags
Sep 18, 2012 at 20:49 vote accept Jagra
Sep 14, 2012 at 3:02 history tweeted twitter.com/#!/StackMma/status/246443854927130624
Sep 14, 2012 at 1:52 comment added Jagra @whuber -- Thank you for the recommendation.
Sep 13, 2012 at 22:21 comment added whuber Note that this approach does not solve your stated problem. If you conjecture that the true underlying distribution is exponential, then you ought to consider something like a Maximum Likelihood estimate of the exponential parameter (based on the data you do have) followed by goodness-of-fit testing.
Sep 13, 2012 at 21:23 comment added Jagra @R.M -- Of course! I should have thought of that. Just late in the day. Thx.
Sep 13, 2012 at 21:19 answer added Sjoerd C. de Vries timeline score: 2
Sep 13, 2012 at 21:07 answer added rm -rf timeline score: 11
Sep 13, 2012 at 21:01 comment added rm -rf Since dist is defined easily, it would've been better to do that instead of noting everywhere that the code won't run... it looks much better now :)
Sep 13, 2012 at 20:59 history edited rm -rf CC BY-SA 3.0
deleted 101 characters in body; edited tags; edited title
Sep 13, 2012 at 20:32 history asked Jagra CC BY-SA 3.0