GLM query
From: spoon <spoon at 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 at 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 at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._