File: t_MinCopula_std.expout

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Copula  class=MinCopula name=a min copula dimension=3
Copula  MinCopula(dim = 3)
Mean  [0.5,0.5,0.5]
Covariance  [[ 0.0833333 0.0833333 0.0833333 ]
 [ 0.0833333 0.0833333 0.0833333 ]
 [ 0.0833333 0.0833333 0.0833333 ]]
Elliptical distribution=  False
Elliptical copula=  False
Independent copula=  False
oneRealization= [0.629877,0.629877,0.629877]
oneSample=     [ X0        X1        X2        ]
0 : [ 0.882805  0.882805  0.882805  ]
1 : [ 0.135276  0.135276  0.135276  ]
2 : [ 0.0325028 0.0325028 0.0325028 ]
3 : [ 0.347057  0.347057  0.347057  ]
4 : [ 0.969423  0.969423  0.969423  ]
5 : [ 0.92068   0.92068   0.92068   ]
6 : [ 0.50304   0.50304   0.50304   ]
7 : [ 0.0632061 0.0632061 0.0632061 ]
8 : [ 0.292757  0.292757  0.292757  ]
9 : [ 0.714382  0.714382  0.714382  ]
point=  [0.2,0.2,0.2] pdf= 0.2 cdf= 0.2
Quantile= [0.5,0.5,0.5]
CDF(quantile)= 0.5
Quantile= [0.05,0.05,0.05]
InverseSurvival= class=Point name=Unnamed dimension=3 values=[0.05,0.05,0.05]
Survival(inverseSurvival)=0.950000
entropy=1.000000e+00
margin= IndependentCopula(dimension = 1)
margin PDF= 1.0
margin CDF= 0.25
margin quantile= [0.95]
margin realization= [0.383362]
margin= IndependentCopula(dimension = 1)
margin PDF= 1.0
margin CDF= 0.25
margin quantile= [0.95]
margin realization= [0.373767]
margin= IndependentCopula(dimension = 1)
margin PDF= 1.0
margin CDF= 0.25
margin quantile= [0.95]
margin realization= [0.737268]
indices= [1, 0]
margins= MinCopula(dim = 2)
margins PDF= 0.25
margins CDF= 0.25
margins quantile= [0.95,0.95]
margins CDF(quantile)= 0.95
margins realization= [0.883503,0.883503]