Distribution  class=Dirichlet name=Dirichlet dimension=1 theta=class=Point name=Unnamed dimension=2 values=[0.25,0.5]
Distribution  Dirichlet(theta = [0.25,0.5])
Elliptical =  False
Continuous =  True
oneRealization= class=Point name=Unnamed dimension=1 values=[0.168034]
oneSample first= class=Point name=Unnamed dimension=1 values=[0.240694]  last= class=Point name=Unnamed dimension=1 values=[0.0030253]
mean= class=Point name=Unnamed dimension=1 values=[0.335127]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.127543]
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=[0.5]
log pdf= -0.79067254
pdf     = 0.45353967
cdf= 0.6831129
quantile= class=Point name=Unnamed dimension=1 values=[0.982959]
cdf(quantile)= 0.950000
InverseSurvival= class=Point name=Unnamed dimension=1 values=[1.8464e-05]
Survival(inverseSurvival)=0.950000
Minimum volume interval= [0, 0.983456]
threshold= [0.95]
Minimum volume level set= {x | f(x) <= 0.807765} with f=
MinimumVolumeLevelSetEvaluation(Dirichlet(theta = [0.25,0.5]))
beta= [0.445853]
Bilateral confidence interval= [1.15401e-06, 0.995712]
beta= [0.95]
Unilateral confidence interval (lower tail)= [0, 0.982959]
beta= [0.95]
Unilateral confidence interval (upper tail)= [1.8464e-05, 1]
beta= [0.95]
mean= class=Point name=Unnamed dimension=1 values=[0.333333]
standard deviation= class=Point name=Unnamed dimension=1 values=[0.125988]
skewness= class=Point name=Unnamed dimension=1 values=[1.92418]
kurtosis= class=Point name=Unnamed dimension=1 values=[1.90909]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.126984]
margin= Dirichlet(theta = [0.25,0.5])
margin PDF= 0.45353967
margin CDF= 0.6831129
margin quantile= class=Point name=Unnamed dimension=1 values=[0.982959]
margin realization= class=Point name=Unnamed dimension=1 values=[0.599821]
