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Distribution class=Rayleigh name=Rayleigh dimension=1 beta=2.5 gamma=-0.5
Distribution Rayleigh(beta = 2.5, gamma = -0.5)
Elliptical = False
Continuous = True
oneRealization= class=Point name=Unnamed dimension=1 values=[1.90372]
Point= class=Point name=Unnamed dimension=1 values=[1]
ddf = class=Point name=Unnamed dimension=1 values=[0.0855317]
pdf = 0.200464850739
cdf= 0.164729788589
characteristic function= (-0.157515303917+0.242921656409j)
pdf gradient = class=Point name=Unnamed dimension=2 values=[-0.131505,-0.0855317]
cdf gradient = class=Point name=Unnamed dimension=2 values=[-0.120279,-0.200465]
quantile= class=Point name=Unnamed dimension=1 values=[5.61937]
cdf(quantile)= 0.95
InverseSurvival= class=Point name=Unnamed dimension=1 values=[0.300729]
Survival(inverseSurvival)=0.950000
entropy=1.858325
threshold= [0.95]
Minimum volume level set= {x | f(x) <= 3.12539} with f=
MinimumVolumeLevelSetEvaluation(Rayleigh(beta = 2.5, gamma = -0.5))
beta= [0.0439198]
Bilateral confidence interval= [0.062559, 6.29051]
beta= [0.95]
Unilateral confidence interval (lower tail)= [-0.5, 5.61937]
beta= [0.95]
Unilateral confidence interval (upper tail)= [0.300729, 19.5737]
beta= [0.95]
mean= class=Point name=Unnamed dimension=1 values=[2.63329]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[2.68252]
parameters= [class=PointWithDescription name=X0 dimension=2 description=[beta,gamma] values=[2.5,-0.5]]
Standard representative= Rayleigh(beta = 1, gamma = 0)
gamma= -0.5
standard deviation= class=Point name=Unnamed dimension=1 values=[1.63784]
skewness= class=Point name=Unnamed dimension=1 values=[0.631111]
kurtosis= class=Point name=Unnamed dimension=1 values=[3.24509]
beta= 2.5
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