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=     [ marginal 1 marginal 2 marginal 3 ]
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   ]
anotherSample mean= [0.503282,0.503282,0.503282]
anotherSample covariance= [[ 0.0847362 0.0847362 0.0847362 ]
 [ 0.0847362 0.0847362 0.0847362 ]
 [ 0.0847362 0.0847362 0.0847362 ]]
point=  [0.2,0.2,0.2] pdf= 0.2 cdf= 0.2
Quantile= [0.5,0.5,0.5]
CDF(quantile)= 0.5
margin= IndependentCopula(dimension = 1)
margin PDF= 1.0
margin CDF= 0.25
margin quantile= [0.95]
margin realization= [0.876152]
margin= IndependentCopula(dimension = 1)
margin PDF= 1.0
margin CDF= 0.25
margin quantile= [0.95]
margin realization= [0.445759]
margin= IndependentCopula(dimension = 1)
margin PDF= 1.0
margin CDF= 0.25
margin quantile= [0.95]
margin realization= [0.492964]
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= [0.746851,0.746851]