[R] Maximum likelihood estimate of bivariate vonmises-weibulldistribution

[Dimitris Rizopoulos]

the choice of the copula is, in fact, a model selection problem. 
First, you could have a look at the contour plots of different copulas 
(preferably for the same value of Kendall's tau), and decide if some 
of them assume a more appropriate association structure for your 
application, compared to the others. Afterwards, you may fit various 
copula functions, check the fit on the data, compute AIC (since these 
are typically not nested models), etc.

regarding the Von Mises distribution and if could be used in mvdc(), 
that I don't know. It'd be better to contact the copula package 
maintainer and ask.

I hope it helps.

Best,
Dimitirs

----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven

Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://www.med.kuleuven.be/biostat/
     http://www.student.kuleuven.be/~m0390867/dimitris.htm


----- Original Message ----- 
From: "Chaouch, Aziz" <achaouch at NRCan.gc.ca>
To: "Dimitris Rizopoulos" <dimitris.rizopoulos at med.kuleuven.be>; 
<hydinghua at gmail.com>
Cc: <r-help at stat.math.ethz.ch>
Sent: Friday, May 12, 2006 3:13 PM
Subject: RE: [R] Maximum likelihood estimate of bivariate 
vonmises-weibulldistribution


Thanks a lot! I wasn't aware of that copula package and it could well 
be
appropriate to use it for my application. However if I read the copula
help correctly, I still need to know what kind of copula to use to 
link
the distribution of wind speeds and directions. Is there a way to
determine this in R?

Moreover can I use the Von Mises distribution from the circular or
CircStats package into the mvdc function of the copula package or does
the mvdc function only recognize distributions available "natively"
within R?

Thanks again to all, your help is highly appreciated for a newbie like
me!

Regards,

Aziz

-----Original Message-----
From: Dimitris Rizopoulos [mailto:dimitris.rizopoulos at med.kuleuven.be]
Sent: May 12, 2006 3:01 AM
To: Philip He; Chaouch, Aziz
Cc: r-help at stat.math.ethz.ch
Subject: Re: [R] Maximum likelihood estimate of bivariate
vonmises-weibulldistribution


----- Original Message -----
From: "Philip He" <hydinghua at gmail.com>
To: "Chaouch, Aziz" <achaouch at nrcan.gc.ca>
Cc: <r-help at stat.math.ethz.ch>
Sent: Thursday, May 11, 2006 11:21 PM
Subject: Re: [R] Maximum likelihood estimate of bivariate
vonmises-weibulldistribution


> On 5/11/06, Chaouch, Aziz <achaouch at nrcan.gc.ca> wrote:
>>
>> Hi,
>>
>> I'm dealing with wind data and I'd like to model their distribution
>> in order to simulate data to fill-in missing values. Wind direction
>> are typically following a vonmises distribution and wind speeds
>> follow a weibull distribution. I'd like to build a joint 
>> distribution

>> of directions and speeds as a VonMises-Weibull bivariate
>> distribution.
>
>
> In order to built a bivariate distribution from two marginal
> distributions (wind direction, wind speed) , more information is
> needed to specify the relation between these two marginal
> distributions.For example, a conditional distribution may help.
>


An alternative in such cases (i.e., when marginals are available but 
the
joint is difficult to postulate) is to use copulas, which can 
construct
multivariate distributions from univariate marginals. If this is
appropriate for this application, the "copula" package might be of 
help.

Best,
Dimitris

---
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven

Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://www.med.kuleuven.be/biostat/
     http://www.student.kuleuven.be/~m0390867/dimitris.htm


Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm


Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm