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...nals) and check if the association shape for a specific copula is more appropriate for your application. If this is not possible fit models assumig different copulas and check which one provides a better fit to your data. I hope it helps. Best, Dimitris Quoting "Chaouch, Aziz" <achaouch at NRCan.gc.ca>: > Hi Dimitris, > > I'm not sure to understand your suggestion. How would you build that > contour plot for a particular copula and on what is computed the > Kendall's tau? > > Thanks, > > Aziz > > -----Original Message----- > Fro...

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

Hi All, I'd like to compute a kind of reliability index (RI) that would in a sense stand as a measure of reliability of a statistic (histogram etc) computed on a time serie with missing values. The final goal is that: RI=1 for a perfect reliability RI=0 for a total unreliability (no data at all as an extreme case...) The percentage of missing data is one indication: the more missing data,

Hi All, This is a question not directly related to R itself, it's about how to deal with missing data. I want to build wind roses i.e. circular histograms of wind directions and associated speeds to look for trends or changes in the wind patterns over several decades for some meteo stations. The database I have contains hourly records of wind direction and speed over the past 50