Distribution  Frechet(alpha = 6, beta = 1.5, gamma = -1)
Elliptical =  False
Continuous =  True
oneRealization= [0.705878]
oneSample first= [1.12231]  last= [0.539283]
mean= [0.698001]
covariance= [[ 0.177003 ]]
Kolmogorov test for the generator, sample size= 100  is  True
Kolmogorov test for the generator, sample size= 1000  is  True
Point=  [1]
ddf     = [-1.32548]
log pdf= -0.805458661668
pdf     =0.446883
pdf (FD)=0.446883
cdf= 0.836960404867
ccdf= 0.163039595133
survival= 0.163039595133
characteristic function=(0.72659, 0.574653)
log characteristic function=(-0.0764829, 0.669162)
pdf gradient     = [-0.0311988,1.46939,1.32548]
pdf gradient (FD)= [-0.0311988,1.46939,1.32548]
cdf gradient     = [0.0428534,-0.595844,-0.446883]
cdf gradient (FD)= [0.0428534,-0.595844,-0.446883]
quantile= [1.46083]
cdf(quantile)= 0.95
InverseSurvival= class=Point name=Unnamed dimension=1 values=[0.249321]
Survival(inverseSurvival)=0.950000
Minimum volume interval= [0.125077, 1.49279]
threshold= [0.95]
Minimum volume level set= {x | f(x) <= 2.21675} with f=
MinimumVolumeLevelSetEvaluation(Frechet(alpha = 6, beta = 1.5, gamma = -1))
beta= [0.108963]
Bilateral confidence interval= [0.206726, 1.76813]
beta= [0.95]
Unilateral confidence interval (lower tail)= [-1, 1.46083]
beta= [0.95]
Unilateral confidence interval (upper tail)= [0.249321, 322.208]
beta= [0.95]
mean= [0.693181]
standard deviation= [0.424152]
covariance= [[ 0.179905 ]]
correlation= [[ 1 ]]
spearman= [[ 1 ]]
kendall= [[ 1 ]]
parameters= [[alpha : 6, beta : 1.5, gamma : -1]]
standard moment n= 0 , value= [1]
standard moment n= 1 , value= [1.12879]
standard moment n= 2 , value= [1.35412]
standard moment n= 3 , value= [1.77245]
standard moment n= 4 , value= [2.67894]
standard moment n= 5 , value= [5.56632]
Standard representative= Frechet(alpha = 6, beta = 1, gamma = 0)
