Prof Brian Ripley (ripley@stats.ox.ac.uk)
Tue, 21 Dec 1999 09:43:08 +0000 (GMT)
> From: spoon <spoon@hilbert.maths.utas.edu.au>
> Date: Tue, 21 Dec 1999 19:30:40 +1100 (EST)
>
[...]
AIC: -70.016
> But I get a very different AIC to Lindsey (he gets 254.3). I've
> played around a bit and have no idea how to get his solution. Any
> clues?
Here's my guess. Your AIC is based on a log-likelihood regarding log(GDP)
as the data, and his is regarding GDP as the data. The transformation
of the density adds a term to the log-likelihood which is the same for each
model.
Test:
> 2*sum(log(gdp$GDP))
[1] 324.4009
seems close enough to the difference, although I would have expected it
to be closer.
-- Brian D. Ripley, ripley@stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272860 (secr) Oxford OX1 3TG, UK Fax: +44 1865 272595-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request@stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
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