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Distribution class=Rice name=Rice dimension=1 sigma=5 nu=4
Distribution Rice(sigma = 5, nu = 4)
Elliptical = False
Continuous = True
oneRealization= class=NumericalPoint name=Unnamed dimension=1 values=[9.46867]
oneSample first= class=NumericalPoint name=Unnamed dimension=1 values=[6.29291] last= class=NumericalPoint name=Unnamed dimension=1 values=[2.16415]
mean= class=NumericalPoint name=Unnamed dimension=1 values=[7.26091]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[13.4082]
Kolmogorov test for the generator, sample size= 100 is accepted
Kolmogorov test for the generator, sample size= 1000 is accepted
Point= class=NumericalPoint name=Unnamed dimension=1 values=[1]
pdf = 0.0286533178617
pdf (FD)= 0.028653318
cdf= 0.0144246216851
pdf gradient (FD)= class=NumericalPoint name=Unnamed dimension=2 values=[-0.00771071,-0.00449313]
cdf gradient (FD)= class=NumericalPoint name=Unnamed dimension=2 values=[-0.00390269,-0.00470084]
quantile= class=NumericalPoint name=Unnamed dimension=1 values=[13.9273]
cdf(quantile)= 0.95
mean= class=NumericalPoint name=Unnamed dimension=1 values=[7.23115]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[13.7104]
parameters= [class=NumericalPointWithDescription name=marginal 1 dimension=2 description=[sigma,nu] values=[5,4]]
standard moment n= 0 value= [1]
standard moment n= 1 value= [7.23115]
standard moment n= 2 value= [66]
standard moment n= 3 value= [704.457]
standard moment n= 4 value= [8456]
standard moment n= 5 value= [111488]
Standard representative= Rice(sigma = 5, nu = 4)
nu= 4.0
standard deviation= class=NumericalPoint name=Unnamed dimension=1 values=[3.70276]
skewness= class=NumericalPoint name=Unnamed dimension=1 values=[0.569607]
kurtosis= class=NumericalPoint name=Unnamed dimension=1 values=[3.10633]
sigma= 5.0
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