( 1938)
The large-sample distribution of the likelihood ratio for testing composite
hypotheses
- Ann. Math. Stat, 9, 60-62
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Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche, Università di Padova, Italia
tel. +39 049 8274147, http://azzalini.stat.unipd.it
, see also (as already pointed out in the list):
http://azzalini.stat.unipd.it/SN
best wishes,
Adelchi Azzalini
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Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche, Università di Padova, Italia
tel. +39 049 8274147, http://azzalini.stat.unipd.it
(like density does since R 2.2.0)
EN
sm.density of package sm allows to use weights
(with Gaussian kernel)
best wishes,
Adelchi Azzalini
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Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche, Università di Padova, Italia
tel. +39 049 8274147, http://azzalini.stat.unipd.it
general form
..in fact I never realized pnorm2 had been used by someone :-)
if for some reason you prefer not to load mnormt,
then I can put back pnorm2 in sn
best wishes,
Adelchi Azzalini
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Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche, Università di Padova, Italia
tel. +39 049
of dimensions allowed by pmst is 19.
best wishes,
Adelchi Azzalini
You want to evaluate skewed t probabilities in how many dimensions?
If 27 is your maximum, the problem won't be as difficult as if 27 is
your minimum. Also, do you want to compute the multivariate cumulative
probability
On Wed, 07 Jun 2006 19:54:32 +0200, Pedro Ramirez wrote:
PR Not a direct answer to your question, but if you use a logspline
PR density estimate rather than a kernal density estimate then the
PR logspline package will help you and it has built in functions for
PR dlogspline, qlogspline, and
://www.R-project.org/posting-guide.html
PR
_
Don't just search. Find. Check out the new MSN Search!
http://search.msn.com/
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Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche, Università di Padova, Italia
tel. +39 049
On Mon, 13 Feb 2006 17:11:30 -0500, He, Yulei wrote:
HY Hi, there.
HY
HY
HY
HY Does anyone know the R function for calculating the cdf of
HY bivariate normal distribution function?
HY
HY
choose among packages mvtnorm and mnormt the one best suited
for your purpose
best wishes,
Adelchi
On Tue, 21 Feb 2006 11:08:38 -0600 (CST), David Forrest wrote:
perhaps binning of package sm is what you want
best wishes,
Adelchi Azzalini
DF Hi all,
DF
DF I'd like to quantize a variable to map it into a limited set of
DF integers for use with a colormap. image and filled.contour do
DF
On Tue, 28 Mar 2006 11:41:19 +0200, Konrad Banachewicz wrote:
please supply the ingredients needed to reproduce the problem that
you have faced (including the values of the parameters mu,P,alpha,nu,
among the rest)
best wishes,
Adelchi Azzalini
KB Dear All,
KB I am working with skewed-t
' package will handle this sort of things
in a more consisent way (the R code is largely updated, but the
documentation is far behind..)
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Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche, Università di Padova, Italia
tel. +39 049 8274147, http://azzalini.stat.unipd.it/
KB
KB
for the copula mechanism)
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Adelchi Azzalini [EMAIL PROTECTED]
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0.21159387845546 0.620056127430871 0.337449935730547
GG 0.754527133889496 0.280175548279658
GG
GG Any hints how to solve my task?
GG
what about
cat(format(runif(20)))
?
you can improve it a bit with
cat(format(runif(20)),\n)
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Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche
. evaluation of the function
outside the lower/upper limits) has occurred to me too.
It is a rare but possible behaviour.
Last June, I have sent a full description of the problem to
[EMAIL PROTECTED]
Regards,
Adelchi Azzalini
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Adelchi Azzalini [EMAIL PROTECTED]
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,
xlab=data, ylab=ecdf)
rug(x)
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Adelchi Azzalini [EMAIL PROTECTED]
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(please, no ms-word/ms-excel/alike attachments)
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.
Regards, with thanks in advance,
Adelchi Azzalini
Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche, Università di Padova, Italia
http://azzalini.stat.unipd.it/
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packages have compiled correclty, apparently,
when installed. Here below are system data.
Best wishes,
Adelchi Azzalini
R.version
_
platform i686-pc-linux-gnu
arch i686
os linux-gnu
system i686, linux-gnu
status
On Tuesday 10 June 2003 17:31, Masayoshi Hayashi wrote:
(B I am learning glm function, but how do you fit data using exponential
(B distribution with glm?
(B
(BThe Gamma family is parametrised in glm() by two parameters:
(Bmean and dispersion; the "dispersion" regulates the shape.
(B
(BSo
example;
this would be longish in text, and I though to ask first to whom
it is appropriate that I direct my question.
Best wishes,
Adelchi Azzalini
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Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche, Universit di Padova, Italia
http://azzalini.stat.unipd.it
On Monday 23 June 2003 17:50, Erin Hodgess wrote:
Dear R People:
Is there a function to find the mode of a data set, please?
This is the mode as in the value(s) which occur most often.
x[rev(order(table(x)))[1]]
is this what you want?
regards
Adelchi Azzalini
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Adelchi Azzalini
)
and possibly make use of the additional parameter delta for fine tuning
best wishes,
Adelchi Azzalini
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Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche, Università di Padova, Italia
http://azzalini.stat.unipd.it/
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,
Adelchi Azzalini
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http://azzalini.stat.unipd.it/
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(i.e. 1)
and X represents the continuous component of the random variable.
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,
however it seems sensible that qr(..) returns the rank value as NULL or NA
when LAPACK=TRUE -- since it does not try to evaluate it -- instead of
always returning `full rank'.
regards, Adelchi
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Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche, Università di Padova, Italia
http
Azzalini
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Adelchi Azzalini [EMAIL PROTECTED]
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PLEASE do
(saturated model) - log L(fitted model))
best wishes
Adelchi Azzalini
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Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche, Università di Padova, Italia
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Azzalini
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PLEASE do
On Wed, 21 Dec 2005 12:21:54 -0500, Strickland, Matthew wrote:
SM Hello Dr. Adelchi Azzalini,
SM
Dr. Strickland,
your message was directed to the whole r-help list with no CC to
myself, and sometimes I do not have the chance to browse the
r-help list for weeks..
SM Thank you for your quick
(art ~ fem + mar + kid5 + phd + ment, data =
PO bioChemists, family = poisson)
PO predicted.values = predict(poisson_glm)
PO range(predicted.values)
PO
use
predicted.values = predict(poisson_glm, type=response)
best wishes,
Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche
, this is not uploaded to CRAN just to avoid clash with
the existing package. However, if it is felt appropriate, I have no
objection to upload it to CRAN.
Best wishes,
Adelchi Azzalini
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Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche, Università di Padova, Italia
tel. +39 049
a way to
merge 'mnormt' and 'mvtnorm'
best wishes
Adelchi
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Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche, Università di Padova, Italia
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, but it is conceivable that
the similar process for the binomial case has been considered.
Best wishes,
Adelchi Azzalini
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Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche, Università di Padova, Italia
tel. +39 049 8274147, http://azzalini.stat.unipd.it
not reported), hence we do not have the absolute
frequencies. If the sample size was known, then the problem would change.
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Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche, Università di Padova, Italia
tel. +39 049 8274147, http://azzalini.stat.unipd.it
these without using
IV loops:
IV for(i in 1:3) print(dmvnorm(x[i,],y[i,],sig[,,i]))
IV
a partial answer:
dmnorm() in package mnormt is vectorized for x, not for mean and covariance;
dmvnorm() in package mvtnorm works similarly
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Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche
on the parameters.
As an approximate solution, you could fit a plain ARMA(1,1) model.
However, is it not the case that the e_{it} is actually constant
over t, so we have just an e_i term? (a much frequent case in
practice). This is a much easier problem.
Adelchi Azzalini [EMAIL PROTECTED
- rbind(c(-2,-2),c(2,2), c(2,-2),c(-2,2))
a - sm.regression(x,y, eval.points=ev.pt, eval.grid=FALSE)
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Adelchi Azzalini [EMAIL PROTECTED]
Dipart.Scienze Statistiche, Università di Padova, Italia
tel. +39 049 8274147, http://azzalini.stat.unipd.it/
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R
On Tue, 3 Apr 2007 11:43:55 +0200, Adelchi Azzalini wrote:
AA On Mon, 2 Apr 2007 22:26:06 -0400, eric lee wrote:
AA
AA EL Hi. I'm trying to take a data set with two independent and one
AA EL dependent variable and enter a x,y value to predict the dependent
AA EL with a nonparametric technique
, but
the reason is not in the package, rather in the possibility of
representing that number using standard floating-point
numerical devices.
best regards,
Adelchi Azzalini
Thank you.
- dan elliott
-- Forwarded message --
From: Daniel Elliott [EMAIL PROTECTED]
Date: Apr 25
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