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Distribution InverseNormal(mu = 2, lambda = 0.5)
Elliptical = False
Continuous = True
oneRealization= class=Point name=Unnamed dimension=1 values=[0.632204]
Point= class=Point name=Unnamed dimension=1 values=[3]
log pdf=-2.934264
pdf =0.053170
cdf=0.834308
ccdf=0.165692
characteristic function= (0.130776955167+0.348768871351j)
quantile= class=Point name=Unnamed dimension=1 values=[8.26789]
cdf(quantile)=0.950000
InverseSurvival= class=Point name=Unnamed dimension=1 values=[0.117535]
Survival(inverseSurvival)=0.950000
entropy=1.423751
Minimum volume interval= [0.0274495, 8.27076]
threshold= [0.95]
Minimum volume level set= {x | f(x) <= 4.73175} with f=
MinimumVolumeLevelSetEvaluation(InverseNormal(mu = 2, lambda = 0.5))
beta= [0.00881103]
Bilateral confidence interval= [0.0917281, 12.6739]
beta= [0.95]
Unilateral confidence interval (lower tail)= [0, 8.26789]
beta= [0.95]
Unilateral confidence interval (upper tail)= [0.117535, 472.248]
beta= [0.95]
mean= class=Point name=Unnamed dimension=1 values=[2]
standard deviation= class=Point name=Unnamed dimension=1 values=[4]
skewness= class=Point name=Unnamed dimension=1 values=[6]
kurtosis= class=Point name=Unnamed dimension=1 values=[63]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[16]
parameters= [class=PointWithDescription name=X0 dimension=2 description=[mu,lambda] values=[2,0.5]]
Standard representative= InverseNormal(mu = 2, lambda = 0.5)
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