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
Thanks to Spencer Graves for providing links to explain
the various types of kurtosis reported by R packages.
Spencer Graves(http://mathworld.wolfram.com/k-Statistic.html).
Spencer also said:
SG However, these are little used, as the estimates are known to be so
SG highly variable.
Just a further point of clarification: W. E. Deming said there is no
true value to any number obtained as a result of a measurement. If you
change the method of measurement, you will tend to get different
numbers. This introduces the theory of operational definitions.
(Haven't seen an anwer to this yet; maybe I missed it.)
klebyn wrote:
Hello
I do not know very much about statistics (and English language too :-( ),
then I come in search of a clarification (explanation):
I found two distinct results on KURTOSIS and
I do not know which of them
Hello
I do not know very much about statistics (and English language too :-( ),
then I come in search of a clarification (explanation):
I found two distinct results on KURTOSIS and
I do not know which of them is the correct one.
Any aid will be welcome!
klebyn
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