Distribution  class=Wishart name=Wishart dimension=1 cholesky=class=TriangularMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] nu=3
Distribution  Wishart(V = 
[[ 1 ]], nu = 3)
Mean=  class=Point name=Unnamed dimension=1 values=[3]
Covariance=  class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[6]
Elliptical =  False
oneRealization= class=Point name=Unnamed dimension=1 values=[3.90923]
oneSample first= class=Point name=Unnamed dimension=1 values=[1.18011]  last= class=Point name=Unnamed dimension=1 values=[0.622293]
mean= class=Point name=Unnamed dimension=1 values=[3.00811]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[6.19866]
Kolmogorov test for the generator, sample size= 100  is accepted
Kolmogorov test for the generator, sample size= 1000  is accepted
Point=  class=Point name=Unnamed dimension=1 values=[9.1]
ddf     = class=Point name=Unnamed dimension=1 values=[-0.00565984]
ddf (FD)= class=Point name=Unnamed dimension=1 values=[-0.00565984]
log pdf=-4.364801
pdf     =0.012717
pdf (FD)=0.012717
cdf=0.972010
ccdf=0.027990
pdf gradient     = class=Point name=Unnamed dimension=2 values=[-0.00474156,-0.144349]
cdf gradient     = class=Point name=Unnamed dimension=2 values=[-0.0581774,-1.33806]
quantile= class=Point name=Unnamed dimension=1 values=[7.81473]
cdf(quantile)=0.950000
InverseSurvival= class=Point name=Unnamed dimension=1 values=[0.351846]
Survival(inverseSurvival)=0.950000
Minimum volume interval= [0.00315933, 7.81683]
threshold= [0.95]
Minimum volume level set= {x | f(x) <= 3.79922} with f=
MinimumVolumeLevelSetEvaluation(Wishart(V = 
[[ 1 ]], nu = 3))
beta= [0.0223883]
Bilateral confidence interval= [0.215795, 9.3484]
beta= [0.95]
Unilateral confidence interval (lower tail)= [0, 7.81473]
beta= [0.95]
Unilateral confidence interval (upper tail)= [0.351846, 59.8961]
beta= [0.95]
mean= class=Point name=Unnamed dimension=1 values=[3]
standard deviation= class=Point name=Unnamed dimension=1 values=[2.44949]
skewness= class=Point name=Unnamed dimension=1 values=[1.63299]
kurtosis= class=Point name=Unnamed dimension=1 values=[7]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[6]
parameters= [class=PointWithDescription name=Unnamed dimension=0 description=[] values=[],class=PointWithDescription name=Unnamed dimension=0 description=[] values=[]]
standard moment n= 0  value= [1]
standard moment n= 1  value= [3]
standard moment n= 2  value= [15]
standard moment n= 3  value= [105]
standard moment n= 4  value= [945]
standard moment n= 5  value= [10395]
Standard representative= Wishart(V = 
[[ 1 ]], nu = 3)
