File: t_ParametrizedDistribution_std.expout

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Distribution  ParametrizedDistribution(parameters = GammaMuSigma(mu = 0.1, sigma = 0.489898, gamma = -0.5))
Elliptical =  False
Continuous =  True
oneRealization= [0.281847]
Point=  [1]
ddf     = [-0.278355]
log pdf= -2.05205
pdf     =0.128471
cdf= 0.942442
ccdf= 0.0575585
survival= 0.0575585
characteristic function=(0.892418, 0.0632527)
log characteristic function=(-0.111315, 0.0707596)
quantile= [1.06295]
cdf(quantile)= 0.95
InverseSurvival= class=Point name=Unnamed dimension=1 values=[-0.429631]
Survival(inverseSurvival)=0.950000
threshold= [0.95]
Minimum volume level set= {x | f(x) <= 2.18978} with f=
MinimumVolumeLevelSetEvaluation(Gamma(k = 1.5, lambda = 2.5, gamma = -0.5))
beta= [0.111942]
Bilateral confidence interval= [-0.456841, 1.36968]
beta= [0.95]
Unilateral confidence interval (lower tail)= [-0.5, 1.06295]
beta= [0.95]
Unilateral confidence interval (upper tail)= [-0.429631, 13.1546]
beta= [0.95]
mean= [0.1]
covariance= [[ 0.24 ]]
correlation= [[ 1 ]]
spearman= [[ 1 ]]
kendall= [[ 1 ]]
parameters= [[mu : 0.1, sigma : 0.489898, gamma : -0.5]]
Standard representative= Gamma(k = 1.5, lambda = 1, gamma = 0)
conditional PDF=0.903612
sequential conditional PDF=[0.903612]
conditional CDF=0.524709
sequential conditional CDF=[0.524709]