Chia C Chong <[EMAIL PROTECTED]> wrote in message
a145qk$qfq$[EMAIL PROTECTED]">news:a145qk$qfq$[EMAIL PROTECTED]...
> Hi!
>
> I have a series of observations of 2 random variables (say X and Y) from my
> measurement data. These 2 RVs are not independent and hence f(X,Y) ~=
> f(X)f(Y). Hence, I can't investigate f(X) and f(Y) separately. I tried to
> plot the 2-D kernel density estimates of these 2 RVs and from the it looks
> like Laplacian/Gaussian/Generalised Gaussian shape in one side and the other
> side looks like Gamma/Weibull/Exponential shape.
>
> My intention is to find the joint 2-D distribution of these 2 RVs so that I
> can reprenseted this by an equation (so that I could regenerate this plot
> using simulation later on). I wonder whether anyone has come across this
> kind of problem and what method that I should use??
>
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