Parameters collection= [class=PointWithDescription name=Marginal 1 dimension=2 description=[mean_0,standard_deviation_0] values=[0.5,2],class=PointWithDescription name=Marginal 2 dimension=2 description=[mean_1,standard_deviation_1] values=[-0.5,3],class=PointWithDescription name=Marginal 3 dimension=2 description=[mean_2,standard_deviation_2] values=[1,1],class=PointWithDescription name=dependence dimension=3 description=[R_1_0,R_2_0,R_2_1] values=[0.5,0,0.5]]
standard moment n= 0  value= [1]
standard moment n= 1  value= [0]
standard moment n= 2  value= [1]
standard moment n= 3  value= [0]
standard moment n= 4  value= [3]
standard moment n= 5  value= [0]
Standard representative= Normal(mu = 0, sigma = 1)
Distribution  class=Normal name=A normal distribution dimension=3 mean=class=Point name=Unnamed dimension=3 values=[0.5,-0.5,1] sigma=class=Point name=Unnamed dimension=3 values=[2,3,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0,0.5,1,0.5,0,0.5,1]
Distribution  Normal(mu = [0.5,-0.5,1], sigma = [2,3,1], R = [[ 1   0.5 0   ]
 [ 0.5 1   0.5 ]
 [ 0   0.5 1   ]])
Covariance  class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[4,3,0,3,9,1.5,0,1.5,1]
Elliptical =  True
Continuous =  True
oneRealization= class=Point name=Unnamed dimension=3 values=[1.7164,-2.8773,-0.088868]
oneSample first= class=Point name=Unnamed dimension=3 values=[2.911,-4.3592,0.026385]  last= class=Point name=Unnamed dimension=3 values=[-0.74389,-1.2542,0.21664]
mean= class=Point name=Unnamed dimension=3 values=[0.47635,-0.53822,0.99788]
covariance= class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[3.9398,2.8594,-0.015971,2.8594,8.9459,1.4876,-0.015971,1.4876,1.005]
Point=  class=Point name=Unnamed dimension=3 values=[0.5,0.5,0.5]
ddf     = class=Point name=Unnamed dimension=3 values=[0.002741,-0.0036547,0.010181]
ddf (FD)= class=Point name=Unnamed dimension=3 values=[0.002741,-0.0036547,0.010181]
log pdf=-4.667289
pdf     =0.009398
characteristic function=0.049516+0.027050i
log characteristic function=-2.874885+0.499990i
cdf=0.146342
pdf gradient     = class=Point name=Unnamed dimension=6 values=[-0.002741,0.0036547,-0.010181,-0.0046988,-0.0019144,-0.0043071]
pdf gradient (FD)= class=Point name=Unnamed dimension=6 values=[-0.002741,0.0036547,-0.010181,-0.0046988,-0.0019144,-0.0043071]
quantile= class=Point name=Unnamed dimension=3 values=[4.6596,5.7395,3.0798]
cdf(quantile)=0.950000
InverseSurvival= class=Point name=Unnamed dimension=3 values=[-3.6596,-6.7395,-1.0798]
Survival(inverseSurvival)=0.950000
mean= class=Point name=Unnamed dimension=3 values=[0.5,-0.5,1]
standard deviation= class=Point name=Unnamed dimension=3 values=[2,3,1]
skewness= class=Point name=Unnamed dimension=3 values=[0,0,0]
kurtosis= class=Point name=Unnamed dimension=3 values=[3,3,3]
covariance= class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[4,3,0,3,9,1.5,0,1.5,1]
parameters= [class=PointWithDescription name=Marginal 1 dimension=2 description=[mean_0,standard_deviation_0] values=[0.5,2],class=PointWithDescription name=Marginal 2 dimension=2 description=[mean_1,standard_deviation_1] values=[-0.5,3],class=PointWithDescription name=Marginal 3 dimension=2 description=[mean_2,standard_deviation_2] values=[1,1],class=PointWithDescription name=dependence dimension=3 description=[R_1_0,R_2_0,R_2_1] values=[0.5,0,0.5]]
density generator=0.043639
pdf via density generator=0.009398
density generator derivative     =-0.021820
density generator derivative (FD)=-0.021820
density generator second derivative     =0.010910
density generator second derivative (FD)=0.010910
Radial CDF(2.000000 )=0.738536
margin= class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[1] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
margin PDF=0.352065
margin CDF=0.308538
margin quantile= class=Point name=Unnamed dimension=1 values=[2.6449]
margin realization= class=Point name=Unnamed dimension=1 values=[-0.19729]
indices= [1,0]
margins= class=Normal name=Normal dimension=2 mean=class=Point name=Unnamed dimension=2 values=[-0.5,0.5] sigma=class=Point name=Unnamed dimension=2 values=[3,2] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0.5,0.5,1]
margins PDF=0.028443
margins CDF=0.393662
margins quantile= class=Point name=Unnamed dimension=2 values=[5.249,4.3327]
margins CDF(qantile)=0.950000
margins realization= class=Point name=Unnamed dimension=2 values=[-2.2459,-3.0994]
chol= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[2,1.5,0,0,2.5981,0.57735,0,0,0.8165]
invchol= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[0.5,-0.28867,0.20412,0,0.3849,-0.27217,0,0,1.2247]
chol*t(chol)= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[4,3,0,3,9,1.5,0,1.5,1]
chol*invchol= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0,0,0,1,0,0,0,1]
