File: t_DiscreteCompoundDistribution_std.expout

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Upper bound : 62
Distribution  class=DiscreteCompoundDistribution name=DiscreteCompoundDistribution baseDistribution=class=Bernoulli name=Bernoulli dimension=1 p=0.5 compoundDistribution=class=Poisson name=Poisson dimension=1 lambda=20
Distribution  DiscreteCompoundDistribution(base=Bernoulli(p = 0.5), compound=Poisson(lambda = 20))
Elliptical =  False
Continuous =  False
oneRealization= class=Point name=Unnamed dimension=1 values=[4]
oneSample first= class=Point name=Unnamed dimension=1 values=[12]  last= class=Point name=Unnamed dimension=1 values=[18]
mean= class=Point name=Unnamed dimension=1 values=[9.9932]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[9.88734]
quantile= class=Point name=Unnamed dimension=1 values=[15]
cdf(quantile)=0.951260
entropy=2.561410
mean= class=Point name=Unnamed dimension=1 values=[10]
standard deviation= class=Point name=Unnamed dimension=1 values=[3.16228]
skewness= class=Point name=Unnamed dimension=1 values=[0.316228]
kurtosis= class=Point name=Unnamed dimension=1 values=[3.1]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[10]
Standard representative= DiscreteCompoundDistribution(base=Bernoulli(p = 0.5), compound=Poisson(lambda = 20))