Distribution  class=ChiSquare name=ChiSquare dimension=1 nu=1.5
Distribution  ChiSquare(nu = 1.5)
Elliptical =  False
Continuous =  True
oneRealization= class=Point name=Unnamed dimension=1 values=[2.77998]
oneSample first= class=Point name=Unnamed dimension=1 values=[2.51653]  last= class=Point name=Unnamed dimension=1 values=[1.04578]
mean= class=Point name=Unnamed dimension=1 values=[1.49285]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[2.84211]
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=[1]
ddf     = class=Point name=Unnamed dimension=1 values=[-0.220728]
ddf (FD)= class=Point name=Unnamed dimension=1 values=[-0.220728]
pdf     = 0.294304204662
pdf (FD)= 0.294304205
cdf= 0.527937109835
characteristic function= (0.368925208371+0.403687932533j)
pdf gradient     = class=Point name=Unnamed dimension=1 values=[0.0577886]
pdf gradient (FD)= class=Point name=Unnamed dimension=1 values=[0.0577886]
cdf gradient     = class=Point name=Unnamed dimension=1 values=[-0.291714]
cdf gradient (FD)= class=Point name=Unnamed dimension=1 values=[-0.291714]
quantile= class=Point name=Unnamed dimension=1 values=[4.9802]
cdf(quantile)= 0.95
InverseSurvival= class=Point name=Unnamed dimension=1 values=[0.0332328]
Survival(inverseSurvival)=0.950000
Minimum volume interval= [0, 4.9802]
threshold= [0.95]
Minimum volume level set= {x | f(x) <= 3.61461} with f=
MinimumVolumeLevelSetEvaluation(ChiSquare(nu = 1.5))
beta= [0.0269275]
Bilateral confidence interval= [0.013113, 6.27581]
beta= [0.95]
Unilateral confidence interval (lower tail)= [0, 4.9802]
beta= [0.95]
Unilateral confidence interval (upper tail)= [0.0332328, 39.9307]
beta= [0.95]
mean= class=Point name=Unnamed dimension=1 values=[1.5]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[3]
parameters= [class=PointWithDescription name=X0 dimension=1 description=[nu] values=[1.5]]
standard moment n= 0  value= [1]
standard moment n= 1  value= [1.5]
standard moment n= 2  value= [5.25]
standard moment n= 3  value= [28.875]
standard moment n= 4  value= [216.56]
standard moment n= 5  value= [2057.3]
Standard representative= ChiSquare(nu = 1.5)
nu= 1.5
standard deviation= class=Point name=Unnamed dimension=1 values=[1.73205]
skewness= class=Point name=Unnamed dimension=1 values=[2.3094]
kurtosis= class=Point name=Unnamed dimension=1 values=[11]
