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Distribution class=MarginalUniformOrderStatistics name=MarginalUniformOrderStatistics dimension=2 n=4 indices=[1,3] simplex=class=Mesh name=Unnamed dimension=2 vertices=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=4 dimension=2 data=[[0,0],[1,0],[0,1],[1,1]] simplices=[[0,1,2],[1,3,2]]
Distribution MarginalUniformOrderStatistics(n = 4, indices = [1,3])
Elliptical = false
Continuous = true
oneRealization=class=Point name=Unnamed dimension=2 values=[0.204795,0.4246]
oneSample first=class=Point name=Unnamed dimension=2 values=[0.806666,0.842172] last=class=Point name=Unnamed dimension=2 values=[0.380093,0.92017]
mean=class=Point name=Unnamed dimension=2 values=[0.4001,0.79878]
covariance=class=CovarianceMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[0.0397974,0.0134376,0.0134376,0.0269938]
Point= class=Point name=Unnamed dimension=2 values=[0.15,0.25]
ddf =class=Point name=Unnamed dimension=2 values=[-1.2,3.6]
log pdf =-1.02165
pdf =0.36
cdf =0.00320625
ccdf =0.996794
survival=0.889781
Inverse survival=class=Point name=Unnamed dimension=2 values=[0.0702402,0.404995]
Survival(inverse survival)=0.95
quantile=class=Point name=Unnamed dimension=2 values=[0.802355,0.993358]
cdf(quantile)=0.95
entropy=-1.0114
entropy (MC)=-1.01097
mean=class=Point name=Unnamed dimension=2 values=[0.4,0.8]
standard deviation=class=Point name=Unnamed dimension=2 values=[0.2,0.163299]
skewness=class=Point name=Unnamed dimension=2 values=[0.285714,-1.04978]
kurtosis=class=Point name=Unnamed dimension=2 values=[2.35714,3.69643]
covariance=class=CovarianceMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[0.04,0.0133333,0.0133333,0.0266667]
correlation=class=CovarianceMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0.408248,0.408248,1]
parameters=[[]]
Standard representative=MarginalUniformOrderStatistics(n = 4, indices = [1,3])
Equal? true
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