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### E[ Y x W ] and COV(Y,W), W=log(Y+1)
cov_yw <- function(lambda,delta,N=100){
c0 <- function(lambda, delta, N){
B = 0
j=1
B[j] = lambda * 2^delta * log(2)
eps = sqrt(.Machine$double.eps)
while(B[j] > eps){
B[j+1] = (lambda/j) * (log(j+2)/log(j+1)) * ((j+2)/(j+1))^delta * B[j]
j=j+1
}
return(sum(B)/tau(lambda,delta,N))
}
EYW <- sapply(lambda, c0, delta=delta, N=N)
EY <- mu(lambda, delta, N=N)
EW <- kapa(lambda, delta, N=N)
val <- EYW - EY*EW
return(val)
}
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