Skip to content
Prev 82480 / 398506 Next

about comparison of KURTOSIS in package: moments and fBasics

There are doubtless tests for kurtosos by itself, though I'm not 
familiar with any.  When I'm conderned about kurtosis (which is often), 
I routinely make normal probability plots of observations and residuals 
from model fits.  If I see roughly a straight line, I conclude that I 
won't likely be too misled by assuming normality.  If I see a smooth "S" 
shape with long tails, I would be inclined to try to fit a Student's t 
model.  If I see relatively sharp breaks, that's the fingerprint of a 
mixture.

	  For mixture distributions, I like Titterington, Smith, and Makov 
(1986) Statistical Analysis of Finite Mixture Distributions (Wiley). 
There are more recent books available, but I haven't seen a better 
discussion of normal plots of mixtures.  There are R packages for 
estimating mixtures of various kinds.  To find them, I suggest you try 
"RSiteSearch" with a variety of different key phrases.  For Student's t 
models, I suggest you try "fitdistr" in library(MASS) or "RSiteSearch" 
(or Google).

	  If you'd like further help from this listserve, I suggest you PLEASE 
do read the posting guide! "www.R-project.org/posting-guide.html". 
Anecdotal evidence suggests that post closer to the style recommended in 
this guide tend to get more useful replies quicker.

	  hope this helps.
	  spencer graves
Baize, Harold wrote: