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distribution= class=Normal name=Normal dimension=3 mean=class=NumericalPoint name=Unnamed dimension=3 values=[0.5,1.5,2.5] sigma=class=NumericalPoint 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=NumericalPoint name=Unnamed dimension=3 values=[0.4883,1.46562,2.46859] sigma=class=NumericalPoint 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 ]])
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