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Distribution class=Pareto name=Pareto dimension=1 beta=7.5 alpha=5 gamma=-7
Distribution Pareto(beta = 7.5, alpha=5, gamma=-7)
Elliptical = False
Continuous = True
oneRealization= class=Point name=Unnamed dimension=1 values=[2.14939]
Point= class=Point name=Unnamed dimension=1 values=[1]
range= [0.5, (10126.8) +inf[
ddf = class=Point name=Unnamed dimension=1 values=[-0.339467]
pdf = 0.452622771263
cdf= 0.275803565979
pdf gradient = class=Point name=Unnamed dimension=3 values=[0.301749,0.0613129,0.339467]
cdf gradient = class=Point name=Unnamed dimension=3 values=[-0.482798,0.0467386,-0.452623]
quantile= class=Point name=Unnamed dimension=1 values=[6.65423]
cdf(quantile)= 0.95
InverseSurvival= class=Point name=Unnamed dimension=1 values=[0.577336]
Survival(inverseSurvival)=0.950000
entropy=1.605465
Minimum volume interval= [0.5, 6.65423]
threshold= [0.95]
Minimum volume level set= {x | f(x) <= 4.00034} with f=
MinimumVolumeLevelSetEvaluation(Pareto(beta = 7.5, alpha=5, gamma=-7))
beta= [0.0183093]
Bilateral confidence interval= [0.538073, 8.68459]
beta= [0.95]
Unilateral confidence interval (lower tail)= [0.5, 6.65423]
beta= [0.95]
Unilateral confidence interval (upper tail)= [0.577336, 10126.8]
beta= [0.95]
mean= class=Point name=Unnamed dimension=1 values=[2.375]
standard deviation= class=Point name=Unnamed dimension=1 values=[2.42061]
skewness= class=Point name=Unnamed dimension=1 values=[4.64758]
kurtosis= class=Point name=Unnamed dimension=1 values=[73.8]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[5.85938]
parameters= [class=PointWithDescription name=X0 dimension=3 description=[beta,alpha,gamma] values=[7.5,5,-7]]
Standard representative= Pareto(beta = 1, alpha=5, gamma=0)
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