Distribution  InverseChiSquare(nu = 10.5)
Elliptical =  False
Continuous =  True
oneRealization= [0.0782188]
oneSample first= [0.139041]  last= [0.137094]
mean= [0.118211]
covariance= [[ 0.00448375 ]]
Kolmogorov test for the generator, sample size= 100  is  accepted
Kolmogorov test for the generator, sample size= 1000  is  accepted
Point=  [0.190476]
ddf     = [-32.6097]
ddf (FD)=-32.6097
log pdf= 0.538526870446
pdf     =1.71348
pdf (FD)=1.71348
cdf= 0.898124218121
ccdf= 0.101875781879
survival= 0.101875781879
characteristic function=(0.999474, 0.0224004)
log characteristic function=(-0.000274906, 0.0224084)
pdf gradient     = [-1.01934,-6.74683]
pdf gradient (FD)= [-0.509672]
cdf gradient     = [0.0888995,0.163189]
cdf gradient (FD)= [0.0444498]
quantile= [0.235]
cdf(quantile)= 0.95
InverseSurvival= class=Point name=Unnamed dimension=1 values=[0.0526499]
Survival(inverseSurvival)=0.950000
Minimum volume interval= [0.0358836, 0.238469]
threshold= [0.95]
Minimum volume level set= {x | f(x) <= 35.0308} with f=
MinimumVolumeLevelSetEvaluation(InverseChiSquare(nu = 10.5))
beta= [6.11368e-16]
Bilateral confidence interval= [0.0471602, 0.283384]
beta= [0.95]
Unilateral confidence interval (lower tail)= [0, 0.235]
beta= [0.95]
Unilateral confidence interval (upper tail)= [0.0526499, 85.793]
beta= [0.95]
mean= [0.117647]
covariance= [[ 0.00425872 ]]
correlation= [[ 1 ]]
spearman= [[ 1 ]]
kendall= [[ 1 ]]
parameters= [[nu : 10.5]]
standard moment n= 0 , value= [1]
standard moment n= 1 , value= [0.235294]
standard moment n= 2 , value= [0.0723982]
standard moment n= 3 , value= [0.032177]
standard moment n= 4 , value= [0.0257416]
standard moment n= 5 , value= [0.102966]
Standard representative= InverseChiSquare(nu = 10.5)
standard deviation= [0.0652588]
skewness= [3.20493]
kurtosis= [35.5333]
Distribution  InverseChiSquare(nu = 15)
Elliptical =  False
Continuous =  True
oneRealization= [0.0913064]
oneSample first= [0.0472117]  last= [0.0823255]
mean= [0.0764712]
covariance= [[ 0.00106545 ]]
Kolmogorov test for the generator, sample size= 100  is  accepted
Kolmogorov test for the generator, sample size= 1000  is  accepted
Point=  [0.133333]
ddf     = [-67.8131]
ddf (FD)=-67.8131
log pdf= 0.643707583651
pdf     =1.90353
pdf (FD)=1.90353
cdf= 0.942263113464
ccdf= 0.0577368865356
survival= 0.0577368865356
characteristic function=(0.999938, 0.0102561)
log characteristic function=(-9.55898e-06, 0.0102564)
pdf gradient     = [-1.18971,-10.7073]
pdf gradient (FD)= [-0.594853]
cdf gradient     = [0.0479461,0.126902]
cdf gradient (FD)= [0.023973]
quantile= [0.137723]
cdf(quantile)= 0.95
InverseSurvival= class=Point name=Unnamed dimension=1 values=[0.0400067]
Survival(inverseSurvival)=0.950000
Minimum volume interval= [0.0299545, 0.140394]
threshold= [0.95]
Minimum volume level set= {x | f(x) <= -0.39369} with f=
MinimumVolumeLevelSetEvaluation(InverseChiSquare(nu = 15))
beta= [1.48244]
Bilateral confidence interval= [0.036379, 0.15969]
beta= [0.95]
Unilateral confidence interval (lower tail)= [0, 0.137723]
beta= [0.95]
Unilateral confidence interval (upper tail)= [0.0400067, 10.2372]
beta= [0.95]
mean= [0.0769231]
covariance= [[ 0.00107585 ]]
correlation= [[ 1 ]]
spearman= [[ 1 ]]
kendall= [[ 1 ]]
parameters= [[nu : 15]]
standard moment n= 0 , value= [1]
standard moment n= 1 , value= [0.153846]
standard moment n= 2 , value= [0.027972]
standard moment n= 3 , value= [0.00621601]
standard moment n= 4 , value= [0.001776]
standard moment n= 5 , value= [0.000710401]
Standard representative= InverseChiSquare(nu = 15)
standard deviation= [0.0328001]
skewness= [2.08463]
kurtosis= [13.0952]
