Distribution  class=Laplace name=Laplace dimension=1 lambda=1.5 mu=0.5
Distribution  Laplace(lambda = 1.5, mu = 0.5)
Elliptical =  True
Continuous =  True
oneRealization= class=Point name=Unnamed dimension=1 values=[0.700514]
oneSample first= class=Point name=Unnamed dimension=1 values=[1.46718]  last= class=Point name=Unnamed dimension=1 values=[0.391218]
mean= class=Point name=Unnamed dimension=1 values=[0.509035]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.897085]
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=[-0.531412]
ddf (FD)= class=Point name=Unnamed dimension=1 values=[-0.531412]
pdf     = 0.3542749146
pdf (FD)= 0.3542749146
cdf= 0.763816723629
characteristic function= (0.607557158232+0.331909988264j)
pdf gradient     = class=Point name=Unnamed dimension=2 values=[0.0590458,0.531412]
pdf gradient (FD)= class=Point name=Unnamed dimension=2 values=[0.0590458,0.531412]
cdf gradient     = class=Point name=Unnamed dimension=2 values=[0.118092,-0.354275]
cdf gradient (FD)= class=Point name=Unnamed dimension=2 values=[0.118092,-0.354275]
quantile= class=Point name=Unnamed dimension=1 values=[2.03506]
cdf(quantile)= 0.95
InverseSurvival= class=Point name=Unnamed dimension=1 values=[-1.03506]
Survival(inverseSurvival)=0.950000
Minimum volume interval= [-1.49715, 2.49715]
threshold= [0.95]
Minimum volume level set= {x | f(x) <= 3.28341} with f=
MinimumVolumeLevelSetEvaluation(Laplace(lambda = 1.5, mu = 0.5))
beta= [0.0375]
Bilateral confidence interval= [-1.49715, 2.49715]
beta= [0.95]
Unilateral confidence interval (lower tail)= [-20.5292, 2.03506]
beta= [0.95]
Unilateral confidence interval (upper tail)= [-1.03506, 21.5292]
beta= [0.95]
mean= class=Point name=Unnamed dimension=1 values=[0.5]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.888889]
parameters= [class=PointWithDescription name=X0 dimension=2 description=[lambda,mu] values=[1.5,0.5]]
standard moment n= 0  value= [1]
standard moment n= 1  value= [0]
standard moment n= 2  value= [2]
standard moment n= 3  value= [0]
standard moment n= 4  value= [24]
standard moment n= 5  value= [0]
Standard representative= Laplace(lambda = 1, mu = 0)
lambda= 1.5
mu= 0.5
standard deviation= class=Point name=Unnamed dimension=1 values=[0.942809]
skewness= class=Point name=Unnamed dimension=1 values=[0]
kurtosis= class=Point name=Unnamed dimension=1 values=[6]
