Distribution  class=Weibull name=Weibull dimension=1 alpha=2 beta=1.5 gamma=-0.5
Distribution  Weibull(alpha = 2, beta = 1.5, gamma = -0.5)
Elliptical =  False
Continuous =  True
oneRealization= class=Point name=Unnamed dimension=1 values=[1.49188]
oneSample first= class=Point name=Unnamed dimension=1 values=[2.82534]  last= class=Point name=Unnamed dimension=1 values=[0.847293]
mean= class=Point name=Unnamed dimension=1 values=[1.32223]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1.52908]
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=[-0.107263]
ddf (FD)= class=Point name=Unnamed dimension=1 values=[-0.107263]
log pdf=-1.081042
pdf     =0.339242
pdf (FD)=0.339242
cdf=0.477703
pdf gradient     = class=Point name=Unnamed dimension=3 values=[-0.0891733,0.191956,0.107263]
pdf gradient (FD)= class=Point name=Unnamed dimension=3 values=[-0.0891733,0.191956,0.107263]
cdf gradient     = class=Point name=Unnamed dimension=3 values=[-0.254431,-0.0975938,-0.339242]
cdf gradient (FD)= class=Point name=Unnamed dimension=3 values=[-0.254431,-0.0975938,-0.339242]
quantile= class=Point name=Unnamed dimension=1 values=[3.65622]
cdf(quantile)=0.950000
InverseSurvival= class=Point name=Unnamed dimension=1 values=[-0.223897]
Survival(inverseSurvival)=0.950000
Minimum volume interval= [-0.489737, 3.66304]
threshold= [0.95]
Minimum volume level set= {x | f(x) <= 2.92424} with f=
MinimumVolumeLevelSetEvaluation(Weibull(alpha = 2, beta = 1.5, gamma = -0.5))
beta= [0.0537054]
Bilateral confidence interval= [-0.327556, 4.27485]
beta= [0.95]
Unilateral confidence interval (lower tail)= [-0.5, 3.65622]
beta= [0.95]
Unilateral confidence interval (upper tail)= [-0.223897, 19.7578]
beta= [0.95]
mean= class=Point name=Unnamed dimension=1 values=[1.30549]
standard deviation= class=Point name=Unnamed dimension=1 values=[1.22587]
skewness= class=Point name=Unnamed dimension=1 values=[1.07199]
kurtosis= class=Point name=Unnamed dimension=1 values=[4.3904]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1.50276]
parameters= [class=PointWithDescription name=X0 dimension=3 description=[alpha,beta,gamma] values=[2,1.5,-0.5]]
standard moment n= 0  value= [1]
standard moment n= 1  value= [0.902745]
standard moment n= 2  value= [1.19064]
standard moment n= 3  value= [2]
standard moment n= 4  value= [4.0122]
standard moment n= 5  value= [9.26053]
Standard representative= Weibull(alpha = 1, beta = 1.5, gamma = 0)
