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Distribution Frechet(beta = 1.5, alpha = 6, gamma = -1)
Elliptical = False
Continuous = True
oneRealization= [0.705878]
Point= [1]
ddf = [-1.32548]
log pdf= -0.805458661668
pdf =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 = [1.46939,-0.0311988,1.32548]
cdf gradient = [-0.595844,0.0428534,-0.446883]
quantile= [1.46083]
cdf(quantile)= 0.95
InverseSurvival= class=Point name=Unnamed dimension=1 values=[0.249321]
Survival(inverseSurvival)=0.950000
entropy=0.287124
Minimum volume interval= [0.125077, 1.49279]
threshold= [0.95]
Minimum volume level set= {x | f(x) <= 2.21675} with f=
MinimumVolumeLevelSetEvaluation(Frechet(beta = 1.5, alpha = 6, 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= [[beta : 1.5, alpha : 6, gamma : -1]]
Standard representative= Frechet(beta = 1, alpha = 6, gamma = 0)
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