Distribution  class=Epanechnikov name=Epanechnikov dimension=1
Distribution  Epanechnikov()
Elliptical =  True
Continuous =  True
oneRealization= class=Point name=Unnamed dimension=1 values=[0.174954]
oneSample first= class=Point name=Unnamed dimension=1 values=[0.573175]  last= class=Point name=Unnamed dimension=1 values=[-0.100711]
mean= class=Point name=Unnamed dimension=1 values=[0.00498178]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.203765]
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]
ddf     = class=Point name=Unnamed dimension=1 values=[-0.75]
ddf (FD)= class=Point name=Unnamed dimension=1 values=[-0.75]
log pdf=-0.575364
pdf     =0.562500
pdf (FD)=0.562500
cdf=0.843750
ccdf=0.156250
pdf gradient     = class=Point name=Unnamed dimension=0 values=[]
cdf gradient     = class=Point name=Unnamed dimension=0 values=[]
quantile= class=Point name=Unnamed dimension=1 values=[0.729299]
cdf(quantile)=0.950000
InverseSurvival= class=Point name=Unnamed dimension=1 values=[-0.729299]
Survival(inverseSurvival)=0.950000
Minimum volume interval= [-0.811401, 0.811401]
threshold= [0.95]
Minimum volume level set= {x | f(x) <= 1.36172} with f=
MinimumVolumeLevelSetEvaluation(Epanechnikov())
beta= [0.256221]
Bilateral confidence interval= [-0.811401, 0.811401]
beta= [0.95]
Unilateral confidence interval (lower tail)= [-1, 0.729299]
beta= [0.95]
Unilateral confidence interval (upper tail)= [-0.729299, 1]
beta= [0.95]
mean= class=Point name=Unnamed dimension=1 values=[0]
standard deviation= class=Point name=Unnamed dimension=1 values=[0.447214]
skewness= class=Point name=Unnamed dimension=1 values=[0]
kurtosis= class=Point name=Unnamed dimension=1 values=[2.14286]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.2]
parameters= [class=PointWithDescription name=X0 dimension=0 description=[] values=[]]
standard moment n= 0  value= [1]
standard moment n= 1  value= [0]
standard moment n= 2  value= [0.2]
standard moment n= 3  value= [0]
standard moment n= 4  value= [0.0857143]
standard moment n= 5  value= [0]
Standard representative= Epanechnikov()
