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Distribution class=KernelMixture name=KernelMixture kernel=class=Normal name=Normal dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[0] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] bandwidth=class=NumericalPoint name=Unnamed dimension=3 values=[2,3,1] sample=class=NumericalSample name=Unnamed implementation=class=NumericalSampleImplementation name=Unnamed size=3 dimension=3 data=[[0.5,-0.5,1],[1.5,0.5,2],[2.5,1.5,3]]
Distribution KernelMixture(kernel = Normal(mu = 0, sigma = 1), bandwidth = [2,3,1], sample =
0 : [ 0.5 -0.5 1 ]
1 : [ 1.5 0.5 2 ]
2 : [ 2.5 1.5 3 ]
Elliptical = False
Continuous = True
oneRealization= class=NumericalPoint name=Unnamed dimension=3 values=[2.07328,-2.47593,2.92288]
oneSample first= class=NumericalPoint name=Unnamed dimension=3 values=[-1.86277,2.55013,2.64499] last= class=NumericalPoint name=Unnamed dimension=3 values=[2.81013,-1.29834,1.89856]
mean= class=NumericalPoint name=Unnamed dimension=3 values=[1.63854,0.0623536,2.01459]
covariance= class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[4.5743,-0.738335,-0.178015,-0.738335,6.42657,0.306325,-0.178015,0.306325,1.37246]
Point= class=NumericalPoint name=Unnamed dimension=3 values=[1,1,1]
ddf = class=NumericalPoint name=Unnamed dimension=3 values=[1.17543e-05,-0.000596732,0.00275582]
ddf (ref)= class=NumericalPoint name=Unnamed dimension=3 values=[1.17543e-05,-0.000596732,0.00275582]
ddf (FD)= class=NumericalPoint name=Unnamed dimension=3 values=[1.17543e-05,-0.000596732,0.00275582]
log pdf=-5.218101
pdf =0.005418
pdf (ref)=0.005418
cdf=0.081759
ccdf=0.918241
cdf (ref)=0.081759
quantile= class=NumericalPoint name=Unnamed dimension=3 values=[6.05991,7.07458,4.66827]
quantile (ref)= class=NumericalPoint name=Unnamed dimension=3 values=[6.05991,7.07458,4.66827]
cdf(quantile)=0.950000
mean= class=NumericalPoint name=Unnamed dimension=3 values=[1.5,0.5,2]
mean (ref)= class=NumericalPoint name=Unnamed dimension=3 values=[1.5,0.5,2]
covariance= class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[4.66667,0.666667,0.666667,0.666667,9.66667,0.666667,0.666667,0.666667,1.66667]
covariance (ref)= class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[4.66667,0.666667,0.666667,0.666667,9.66667,0.666667,0.666667,0.666667,1.66667]
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