distribution= class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[0.5,1.5,2.5] sigma=class=Point name=Unnamed dimension=3 values=[1,3,5] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.333333,0.5,0.333333,1,0.5,0.5,0.5,1]
Estimated distribution= class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[0.4883,1.46562,2.46859] sigma=class=Point name=Unnamed dimension=3 values=[0.992448,3.00459,4.99434] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.312825,0.492695,0.312825,1,0.483693,0.492695,0.483693,1]
Default distribution= Normal(mu = 0, sigma = 1)
Distribution from parameters= Normal(mu = [0.5,1.5,2.5], sigma = [1,3,5], R = [[ 1        0.333333 0.5      ]
 [ 0.333333 1        0.5      ]
 [ 0.5      0.5      1        ]])
Normal          = Normal(mu = [0.5,1.5,2.5], sigma = [1,3,5], R = [[ 1        0.333333 0.5      ]
 [ 0.333333 1        0.5      ]
 [ 0.5      0.5      1        ]])
Estimated normal= Normal(mu = [0.4883,1.46562,2.46859], sigma = [0.992448,3.00459,4.99434], R = [[ 1        0.312825 0.492695 ]
 [ 0.312825 1        0.483693 ]
 [ 0.492695 0.483693 1        ]])
Default normal= Normal(mu = 0, sigma = 1)
Normal from parameters= Normal(mu = [0.5,1.5,2.5], sigma = [1,3,5], R = [[ 1        0.333333 0.5      ]
 [ 0.333333 1        0.5      ]
 [ 0.5      0.5      1        ]])
Estimated distribution            = class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0.4883] sigma=class=Point name=Unnamed dimension=1 values=[0.992448] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
Parameter distribution            = ComposedDistribution(Normal(mu = 0.4883, sigma = 0.00992448), RandomMixture(0.0100005 * Chi(nu = 9999)), IndependentCopula(dimension = 2))
