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)
Elliptical = false
Continuous = true
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]
skewness=class=Point name=Unnamed dimension=1 values=[1.68374]
kurtosis=class=Point name=Unnamed dimension=1 values=[7.27045]
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=-4.3648
pdf     =0.0127172
pdf (FD)=0.0127172
cdf=0.97201
ccdf=0.0279905
survival=0.0279905
Inverse survival=class=Point name=Unnamed dimension=1 values=[0.351846]
Survival(inverse survival)=0.95
quantile=class=Point name=Unnamed dimension=1 values=[7.81473]
cdf(quantile)=0.95
quantile (tail)=class=Point name=Unnamed dimension=1 values=[0.351846]
cdf (tail)=0.95
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]
Minimum volume interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[0.00315933] upper bound=class=Point name=Unnamed dimension=1 values=[7.81683] finite lower bound=[1] finite upper bound=[1]
threshold=0.95
Minimum volume level set=class=LevelSet name=Unnamed dimension=1 function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=MinimumVolumeLevelSetEvaluation(Wishart(V = 
[[ 1 ]], nu = 3)) gradientImplementation=MinimumVolumeLevelSetGradient(Wishart(V = 
[[ 1 ]], nu = 3)) hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=MinimumVolumeLevelSetEvaluation(Wishart(V = 
[[ 1 ]], nu = 3)) level=3.79922
beta=0.0223883
Bilateral confidence interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[0.215795] upper bound=class=Point name=Unnamed dimension=1 values=[9.3484] finite lower bound=[1] finite upper bound=[1]
beta=0.95
Unilateral confidence interval (lower tail)=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[0] upper bound=class=Point name=Unnamed dimension=1 values=[7.81473] finite lower bound=[1] finite upper bound=[1]
beta=0.95
Unilateral confidence interval (upper tail)=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[0.351846] upper bound=class=Point name=Unnamed dimension=1 values=[59.8961] finite lower bound=[1] finite upper bound=[1]
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]
correlation=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
spearman=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
kendall=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
parameters=[[],[]]
standard moment n=0, value=class=Point name=Unnamed dimension=1 values=[1]
standard moment n=1, value=class=Point name=Unnamed dimension=1 values=[3]
standard moment n=2, value=class=Point name=Unnamed dimension=1 values=[15]
standard moment n=3, value=class=Point name=Unnamed dimension=1 values=[105]
standard moment n=4, value=class=Point name=Unnamed dimension=1 values=[945]
standard moment n=5, value=class=Point name=Unnamed dimension=1 values=[10395]
Standard representative=Wishart(V = 
[[ 1 ]], nu = 3)
