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. 

First is this a stupid question? I'm a newbie in statistics and R :)

Is it possible to do it in R?

Is there a way to estimate the parameters of the bivariate distribution
using maximum likelihood? Do you have some hints on how to do this in R
(with optim for example)?

The second problem is that the distribution of wind direction is
sometime bimodal (likely to be due to topography). Is it possible to
model the distribution as a mixture of 2 von mises distribution and
build a awfully complex joint distribution that would be "mixture of 2
von mises - weibull"????

Thanks a lot,

Aziz



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