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hppa
2008 Sep 18
0
Joint distributions
..., which I have assumed to be
generalized Pareto distributed as
library(ismev)
library(evd)
Zh=5; Zt=10;
Tppars=gpd.fit(x,Zt)$mle
Hspars=gpd.fit(y,Zh)$mle
and so the return values of each parameter separately are calculated as:
yTp100=qgpd(1-p1/100,Zt,Tppars[1],Tppars[2])
yHp100=qgpd(1-p1/100,Zh,Hppars[1],Hppars[2])
My question are as followed:
1) Is there any function in R which can help me calculate a joint
distribution when the separate distributions are known?
or
2) Is there any way I can extend the contour lines in my plot to contain
values of the worsed expected sea-state during 100-years...