File: t_ComposedDistribution_std.expout

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Copula =  class=IndependentCopula name=Independent copula dimension=3
Copula =  IndependentCopula(dimension = 3)
Distribution =  class=ComposedDistribution name=myDist dimension=3 copula=class=IndependentCopula name=Independent copula dimension=3 marginal[0]=class=Normal name=First dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[1] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[2] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[1]=class=Normal name=Second dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[2] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[3] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[2]=class=Normal name=Third dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[3] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[4] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
Distribution =  ComposedDistribution(Normal(mu = 1, sigma = 2), Normal(mu = 2, sigma = 3), Normal(mu = 3, sigma = 4), IndependentCopula(dimension = 3))
Parameters =  [class=NumericalPointWithDescription name=One dimension=2 description=[mean_0_marginal_0,standard_deviation_0_marginal_0] values=[1,2],class=NumericalPointWithDescription name=Two dimension=2 description=[mean_0_marginal_1,standard_deviation_0_marginal_1] values=[2,3],class=NumericalPointWithDescription name=Three dimension=2 description=[mean_0_marginal_2,standard_deviation_0_marginal_2] values=[3,4],class=NumericalPointWithDescription name=Independent copula dimension=0 description=[] values=[]]
Mean =  class=NumericalPoint name=Unnamed dimension=3 values=[1,2,3]
Covariance =  class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[4,0,0,0,9,0,0,0,16]
Elliptical =  True
Elliptical copula =  True
Independent copula =  True
oneRealization= class=NumericalPoint name=Unnamed dimension=3 values=[2.2164,-1.7985,1.2469]
oneSample= class=NumericalSample name=myDist implementation=class=NumericalSampleImplementation name=myDist size=10 dimension=3 description=[One,Two,Three] data=[[3.411,-1.8487,-0.42685],[-3.3628,-1.9353,4.8945],[1.7001,1.7276,2.498],[0.28999,4.9874,4.4057],[3.8745,1.5816,10.129],[2.6213,0.31938,3.2808],[2.5863,3.3365,-0.12547],[0.058949,2.9688,0.11387],[1.522,3.3374,2.0351],[-3.5801,-1.1142,-4.1519]]
anotherSample mean= class=NumericalPoint name=Unnamed dimension=3 values=[0.97424,2.0042,2.9816]
anotherSample covariance= class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[4.0088,-0.0041128,-0.046658,-0.0041128,8.9978,-0.0023047,-0.046658,-0.0023047,16.294]
Zero point=  class=NumericalPoint name=Unnamed dimension=3 values=[0,0,0]  pdf=0.001411  cdf=0.017655
Quantile= class=NumericalPoint name=Unnamed dimension=3 values=[5.2424,8.3636,11.485]
CDF(quantile)=0.950000
Reference=
Zero point=  class=NumericalPoint name=Unnamed dimension=3 values=[0,0,0]  pdf= 0.001411  cdf= 0.017655  quantile=  class=NumericalPoint name=Unnamed dimension=3 values=[5.2424,8.3636,11.485]
margin= class=Normal name=First dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[1] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[2] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
margin PDF=0.176033
margin CDF=0.308538
margin quantile= class=NumericalPoint name=Unnamed dimension=1 values=[1]
margin realization= class=NumericalPoint name=Unnamed dimension=1 values=[-0.25313]
margin= class=Normal name=Second dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[2] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[3] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
margin PDF=0.106483
margin CDF=0.252493
margin quantile= class=NumericalPoint name=Unnamed dimension=1 values=[2]
margin realization= class=NumericalPoint name=Unnamed dimension=1 values=[1.6826]
margin= class=Normal name=Third dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[3] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[4] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
margin PDF=0.075284
margin CDF=0.226627
margin quantile= class=NumericalPoint name=Unnamed dimension=1 values=[3]
margin realization= class=NumericalPoint name=Unnamed dimension=1 values=[4.1999]
indices= [1,0]
margins= class=ComposedDistribution name=ComposedDistribution dimension=2 copula=class=IndependentCopula name=IndependentCopula dimension=2 marginal[0]=class=Normal name=Second dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[2] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[3] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[1]=class=Normal name=First dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[1] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[2] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
margins PDF=0.018744
margins CDF=0.077903
margins quantile= class=NumericalPoint name=Unnamed dimension=2 values=[3.6349,2.0899]
margins CDF(qantile)=0.500000
margins realization= class=NumericalPoint name=Unnamed dimension=2 values=[2.8045,-2.4028]
Distribution  class=ComposedDistribution name=myDist dimension=3 copula=class=NormalCopula name=Normal copula dimension=3 correlation=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.25,0,0.25,1,0.25,0,0.25,1] marginal[0]=class=Normal name=First dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[1] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[2] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[1]=class=Normal name=Second dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[2] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[3] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[2]=class=Normal name=Third dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[3] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[4] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
Parameters  [class=NumericalPointWithDescription name=One dimension=2 description=[mean_0_marginal_0,standard_deviation_0_marginal_0] values=[1,2],class=NumericalPointWithDescription name=Two dimension=2 description=[mean_0_marginal_1,standard_deviation_0_marginal_1] values=[2,3],class=NumericalPointWithDescription name=Three dimension=2 description=[mean_0_marginal_2,standard_deviation_0_marginal_2] values=[3,4],class=NumericalPointWithDescription name=Normal copula dimension=3 description=[R_2_1_copula,R_3_1_copula,R_3_2_copula] values=[0.25,0,0.25]]
PDF      =0.001754
PDF (ref)=0.001754
CDF      =0.033495
CDF (ref)=0.033495
Quantile      = class=NumericalPoint name=Unnamed dimension=3 values=[5.2177,8.3266,11.435]
Quantile (ref)= class=NumericalPoint name=Unnamed dimension=3 values=[5.2177,8.3266,11.435]
CDF(quantile)=0.950000
Mean      = class=NumericalPoint name=Unnamed dimension=3 values=[1,2,3]
Mean (ref)= class=NumericalPoint name=Unnamed dimension=3 values=[1,2,3]
Standard deviation      = class=NumericalPoint name=Unnamed dimension=3 values=[2,3,4]
Standard deviation (ref)= class=NumericalPoint name=Unnamed dimension=3 values=[2,3,4]
Skewness      = class=NumericalPoint name=Unnamed dimension=3 values=[0,0,0]
Skewness (ref)= class=NumericalPoint name=Unnamed dimension=3 values=[0,0,0]
Kurtosis      = class=NumericalPoint name=Unnamed dimension=3 values=[3,3,3]
Kurtosis (ref)= class=NumericalPoint name=Unnamed dimension=3 values=[3,3,3]
Covariance      = class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[4,1.5,0,1.5,9,3,0,3,16]
Covariance (ref)= class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[4,1.5,0,1.5,9,3,0,3,16]
anotherSample mean= class=NumericalPoint name=Unnamed dimension=3 values=[1.0094,1.9591,3.022]
anotherSample covariance= class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[3.9732,1.4789,-0.076027,1.4789,9.0962,3.047,-0.076027,3.047,16.185]
    [ One       Two       Three     ]
0 : [  4.887     3.7096    3.7362   ]
1 : [  0.9532    5.5558   -2.5108   ]
2 : [  2.3698    4.1569    2.7642   ]
3 : [ -0.46209   2.179     5.6653   ]
4 : [  3.0681   -3.9101   -1.0432   ]
5 : [ -1.3555   -8.0808   -1.865    ]
6 : [  0.012627  0.41961   7.5117   ]
7 : [  0.64198   1.6486   -8.6943   ]
8 : [ -0.095161  3.6142    1.7054   ]
9 : [  1.5687    2.3176    4.3751   ]
    [ y0        y1        y2        ]
0 : [  1.9435    0.086756  0.16731  ]
1 : [ -0.023402  1.2302   -1.7548   ]
2 : [  0.68489   0.5657   -0.21222  ]
3 : [ -0.73105   0.25036   0.62279  ]
4 : [  1.034    -2.3016   -0.43114  ]
5 : [ -1.1777   -3.1664   -0.41268  ]
6 : [ -0.49369  -0.4166    1.2788   ]
7 : [ -0.17901  -0.074757 -3.0062   ]
8 : [ -0.54758   0.6971   -0.52131  ]
9 : [  0.28437   0.035925  0.34625  ]
    [ y0        y1        y2        ]
0 : [  4.887     3.7096    3.7362   ]
1 : [  0.9532    5.5558   -2.5108   ]
2 : [  2.3698    4.1569    2.7642   ]
3 : [ -0.46209   2.179     5.6653   ]
4 : [  3.0681   -3.9101   -1.0432   ]
5 : [ -1.3555   -8.0808   -1.865    ]
6 : [  0.012627  0.41961   7.5117   ]
7 : [  0.64198   1.6486   -8.6943   ]
8 : [ -0.095161  3.6142    1.7054   ]
9 : [  1.5687    2.3176    4.3751   ]