25
25
Distribution class=Gumbel name=Gumbel dimension=1 alpha=2 beta=-0.5
28
oneRealization=class=NumericalPoint name=Unnamed dimension=1 implementation=class=NumericalPointImplementation name=Unnamed dimension=1 values=[-0.114155]
29
oneSample first=class=NumericalPoint name=Unnamed dimension=1 implementation=class=NumericalPointImplementation name=Unnamed dimension=1 values=[0.54112] last=class=NumericalPoint name=Unnamed dimension=1 implementation=class=NumericalPointImplementation name=Unnamed dimension=1 values=[-0.422444]
30
mean=class=NumericalPoint name=Unnamed dimension=1 implementation=class=NumericalPointImplementation name=Unnamed dimension=1 values=[-0.20325]
28
oneRealization=class=NumericalPoint name=Unnamed dimension=1 values=[-0.114155]
29
oneSample first=class=NumericalPoint name=Unnamed dimension=1 values=[0.54112] last=class=NumericalPoint name=Unnamed dimension=1 values=[-0.422444]
30
mean=class=NumericalPoint name=Unnamed dimension=1 values=[-0.20325]
31
31
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.416712]
32
Point= class=NumericalPoint name=Unnamed dimension=1 implementation=class=NumericalPointImplementation name=Unnamed dimension=1 values=[1]
33
ddf =class=NumericalPoint name=Unnamed dimension=1 implementation=class=NumericalPointImplementation name=Unnamed dimension=1 values=[-0.180043]
34
ddf (FD)=class=NumericalPoint name=Unnamed dimension=1 implementation=class=NumericalPointImplementation name=Unnamed dimension=1 values=[-0.180043]
32
Point= class=NumericalPoint name=Unnamed dimension=1 values=[1]
33
ddf =class=NumericalPoint name=Unnamed dimension=1 values=[-0.180043]
34
ddf (FD)=class=NumericalPoint name=Unnamed dimension=1 values=[-0.180043]
38
pdf gradient =class=NumericalPoint name=Unnamed dimension=2 implementation=class=NumericalPointImplementation name=Unnamed dimension=2 values=[-0.0876629,0.180043]
39
pdf gradient (FD)=class=NumericalPoint name=Unnamed dimension=2 implementation=class=NumericalPointImplementation name=Unnamed dimension=2 values=[-0.0876629,0.180043]
40
cdf gradient =class=NumericalPoint name=Unnamed dimension=2 implementation=class=NumericalPointImplementation name=Unnamed dimension=2 values=[0.0710535,-0.094738]
41
cdf gradient (FD)=class=NumericalPoint name=Unnamed dimension=2 implementation=class=NumericalPointImplementation name=Unnamed dimension=2 values=[0.0710535,-0.094738]
42
quantile=class=NumericalPoint name=Unnamed dimension=1 implementation=class=NumericalPointImplementation name=Unnamed dimension=1 values=[0.985098]
38
pdf gradient =class=NumericalPoint name=Unnamed dimension=2 values=[-0.0876629,0.180043]
39
pdf gradient (FD)=class=NumericalPoint name=Unnamed dimension=2 values=[-0.0876629,0.180043]
40
cdf gradient =class=NumericalPoint name=Unnamed dimension=2 values=[0.0710535,-0.094738]
41
cdf gradient (FD)=class=NumericalPoint name=Unnamed dimension=2 values=[0.0710535,-0.094738]
42
quantile=class=NumericalPoint name=Unnamed dimension=1 values=[0.985098]
44
mean=class=NumericalPoint name=Unnamed dimension=1 implementation=class=NumericalPointImplementation name=Unnamed dimension=1 values=[-0.211392]
45
standard deviation=class=NumericalPoint name=Unnamed dimension=1 implementation=class=NumericalPointImplementation name=Unnamed dimension=1 values=[0.641275]
46
skewness=class=NumericalPoint name=Unnamed dimension=1 implementation=class=NumericalPointImplementation name=Unnamed dimension=1 values=[1.13955]
47
kurtosis=class=NumericalPoint name=Unnamed dimension=1 implementation=class=NumericalPointImplementation name=Unnamed dimension=1 values=[5.4]
44
mean=class=NumericalPoint name=Unnamed dimension=1 values=[-0.211392]
45
standard deviation=class=NumericalPoint name=Unnamed dimension=1 values=[0.641275]
46
skewness=class=NumericalPoint name=Unnamed dimension=1 values=[1.13955]
47
kurtosis=class=NumericalPoint name=Unnamed dimension=1 values=[5.4]
48
48
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.411234]
49
parameters=[class=NumericalPointWithDescription name=marginal 1 dimension=2 implementation=class=NumericalPointImplementationWithDescription name=marginal 1 dimension=2 description=[alpha,beta] values=[2,-0.5]]
49
parameters=[class=NumericalPointWithDescription name=marginal 1 dimension=2 description=[alpha,beta] values=[2,-0.5]]
52
52
alpha from (mu, sigma)=2