omega
.This is the target function whose zero is searched to crete
the inverse function of omega
.
1 2  omega_root(x = 0.5, p0_v1 = 0.5, p0_v2 = 0.5, p00 = p0_v1 * p0_v2,
correlation = NA)

x 
value of expected correlation between the corresponding Gaussiandistributed variables 
p0_v1,p0_v2 
probablity of no precipitatin occurences for the v1 and v2 time series respectively. 
p00 
probability of no precipitation occurence in
both v1 and v2 simultanously returned by

correlation 
numerical value. DEfault is 
the value p00omega(x=x,p0_v1=p0_v1,p0_v2=p0_v2)
or
correlationomega(x=x,p0_v1=p0_v1,p0_v2=p0_v2)
(if
correlation
is not NA
)
This function makes use of normal copula
Emanuele Cordano
normalCopula
,pcopula
,omega
,omega_inv
1 2 3  rho < 0.4
p00 < omega(x=rho,p0_v1=0.5,p0_v2=0.5)
omega_root(x=rho,p0_v1=0.5,p0_v2=0.5,p00=p00)

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