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2013 May 03
0
Empirica Copula
...ong as we have d, p and q (pdf, cdf and quantile) functions are available. Hence my code for those are: # Make the functions for data distribution dSAR<-function(SAR){dexp(SAR, rate=0.5)} pSAR<-function(SAR){pexp(SAR, rate=0.5)} qSAR<-function(SAR){qexp(c(seq(0,1, .01)),SAR, rate=0.5)} dper<-function(per) {dexp(per,rate=0.5)} pper<-function(per){pexp(per,rate=0.5)} qper<-function(per){qexp(c(seq(0,1,.01)),per, rate=0.5)} gmb<-gumbelCopula(3,dim=2) # create bivariate copula object with dim=2 #tau(gmb) ## construct a bivariate distribution with defined marginals myCDF<...