[Gretl-users] DEA(Data Envelopment Analysis) with Grelt
Evening all,
Could someone have a clue on if, DEA could be performed with Grelt?
Thanks
--- On Mon, 5/30/11, Sven Schreiber <svetosch(a)gmx.net> wrote:
From: Sven Schreiber <svetosch(a)gmx.net>
Subject: Re: [Gretl-users] skewness and kurtosis
To: "Gretl list" <gretl-users(a)lists.wfu.edu>
Date: Monday, May 30, 2011, 2:09 PM
Am 30.05.2011 21:33, schrieb Allin Cottrell:
Sorry for the delayed response; my internet access is still
intermittent. But here's my 2 cents worth (not intended to be
definitive). I agree with Jack's earlier point about keeping the
number of built-in functions down to a reasonable number. To that
end, I think I'd prefer to have a built-in "moments" function that
gives a matrix with mean, variance, skewness and (excess?)
kurtosis, and not bother with separate skewness and kurtosis
functions.
Rationale: mean and standard deviation (and/or variance) are
wanted so often that it makes sense to have specific functions for
those purposes. But skewness and kurtosis will be wanted much less
often, and when people want those they probably want the first two
moments too, so why not just one function for the "fancy" stuff?
If a function moments() is introduced, I would suggest to make it more
general: e.g. moments(x,i) could return up to the i-th moment of x in a
i-column matrix, with i>0. Otherwise I would prefer the two functions
skew() and kurt() over one function moments().
cheers,
sven
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