search for: vittor

Displaying 6 results from an estimated 6 matches for "vittor".

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2004 Aug 04
2
fitting distributions
Hello, I also try to fit a skewed distribution (like skewed student t) to data points. Do you have an idee howto do this??? thank you fabrice dusonchet *********************************************************************************** This email and any files transmitted with it are confidentia...{{dropped}}
2004 Dec 02
0
A somewhat off the line question to a log normal distribution
...entral Limit Theorem (CLT) sums of random variables, regardless of their form, will tend to be normally distributed. CLT does not require the variables in the sum to come from the same underlying distribution. Ciao, Hannu Kahra Progetti Speciali Monte Paschi Asset Management SGR S.p.A. Via San Vittore, 37 IT-20123 Milano, Italia Tel.: +39 02 43828 754 Mobile: +39 333 876 1558 Fax: +39 02 43828 247 E-mail: kahra at mpsgr.it Web: www.mpsam.it -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch]On Behalf Of Siegfried Gonzi Sent...
2004 Nov 18
1
gibbs sampling for mixture of normals
hi i'm looking for a gibbs sampling algorithm for R for the case of mixture of K normals, and in particular for the case of bivariate normals. i'd be grateful if anyone could send its own R-routine, at least for the univariate case. thank you in advance matteo
2004 Sep 15
6
Bessel function
Dear all Currently, I'm implementing the generalized hyperbolic distribution into Splus. Unfortunately the Bessel function is not implemented in Splus. In R the Bessel function does exist but it is an internal function and I'm not able to look at the code. Is there any possibility to see the code of the Bessel function in R or does anybody has an implementation of the Bessel function in
2004 Aug 09
4
linear constraint optim with bounds/reparametrization
Hello All, I would like to optimize a (log-)likelihood function subject to a number of linear constraints between parameters. These constraints are equality constraints of the form A%*%theta=c, ie (1,1) %*% 0.8,0.2)^t = 1 meaning that these parameters should sum to one. Moreover, there are bounds on the individual parameters, in most cases that I am considering parameters are bound between zero
2004 Sep 22
5
block statistics with POSIX classes
...regateSeries does the job in that module; but I do not know, how handle it in R. My guess is that (1) is done by using the function aggregate, but how to define the 'by' argument with POSIX variables? Thanks! Hannu Kahra Progetti Speciali Monte Paschi Asset Management SGR S.p.A. Via San Vittore, 37 IT-20123 Milano, Italia Tel.: +39 02 43828 754 Mobile: +39 333 876 1558 Fax: +39 02 43828 247 E-mail: kahra at mpsgr.it Web: www.mpsam.it