File: t_MaximumDistribution_std.expout

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Distribution  MaximumDistribution(Normal(mu = [0,0,0,0,0], sigma = [1,1,1,1,1], R = 5x5
[[ 1 0 0 0 0 ]
 [ 0 1 0 0 0 ]
 [ 0 0 1 0 0 ]
 [ 0 0 0 1 0 ]
 [ 0 0 0 0 1 ]]))
Elliptical =  False
Continuous =  True
oneRealization= [1.20548]
oneSample first= [1.43725]  last= [0.884963]
mean= [1.16745]
covariance= [[ 0.448379 ]]
Kolmogorov test for the generator, sample size= 100  is accepted
Kolmogorov test for the generator, sample size= 1000  is accepted
Point=  [1.0]
ddf     = [0.0911751]
log pdf=-0.50052
pdf    =0.60622
cdf =0.42157
ccdf=0.57843
survival=0.57843
Inverse survival= [0.123843]
Survival(inverse survival)=0.95
quantile= [2.31868]
cdf(quantile)=0.95
quantile (tail)= [0.123843]
cdf (tail)=0.95
threshold= 0.95
Minimum volume level set= {x | f(x) <= 2.46478} with f=
MinimumVolumeLevelSetEvaluation(MaximumDistribution(Normal(mu = [0,0,0,0,0], sigma = [1,1,1,1,1], R = 5x5
[[ 1 0 0 0 0 ]
 [ 0 1 0 0 0 ]
 [ 0 0 1 0 0 ]
 [ 0 0 0 1 0 ]
 [ 0 0 0 0 1 ]])))
beta=0.085027
Bilateral confidence interval= [-0.0547313, 2.57233]
beta=0.95
beta=0.95
beta=0.95
mean= [1.16296]
standard deviation= [0.66898]
skewness= [0.302571]
kurtosis= [3.20079]
covariance= [[ 0.447534 ]]
correlation= [[ 1 ]]
spearman= [[ 1 ]]
kendall= [[ 1 ]]
Standard representative= MaximumDistribution(Normal(mu = [0,0,0,0,0], sigma = [1,1,1,1,1], R = 5x5
[[ 1 0 0 0 0 ]
 [ 0 1 0 0 0 ]
 [ 0 0 1 0 0 ]
 [ 0 0 0 1 0 ]
 [ 0 0 0 0 1 ]]))
Distribution  MaximumDistribution(JointDistribution(Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), IndependentCopula(dimension = 5)))
Elliptical =  False
Continuous =  True
oneRealization= [0.859685]
oneSample first= [1.78646]  last= [2.18777]
mean= [1.16148]
covariance= [[ 0.457225 ]]
Kolmogorov test for the generator, sample size= 100  is accepted
Kolmogorov test for the generator, sample size= 1000  is accepted
Point=  [1.0]
ddf     = [0.0911751]
log pdf=-0.50052
pdf    =0.60622
cdf =0.42157
ccdf=0.57843
survival=0.57843
Inverse survival= [0.123843]
Survival(inverse survival)=0.95
quantile= [2.31868]
cdf(quantile)=0.95
quantile (tail)= [0.123843]
cdf (tail)=0.95
threshold= 0.95
Minimum volume level set= {x | f(x) <= 2.46478} with f=
MinimumVolumeLevelSetEvaluation(MaximumDistribution(JointDistribution(Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), IndependentCopula(dimension = 5))))
beta=0.085027
Bilateral confidence interval= [-0.0547313, 2.57233]
beta=0.95
beta=0.95
beta=0.95
mean= [1.16296]
standard deviation= [0.66898]
skewness= [0.302571]
kurtosis= [3.20079]
covariance= [[ 0.447534 ]]
correlation= [[ 1 ]]
spearman= [[ 1 ]]
kendall= [[ 1 ]]
Standard representative= MaximumDistribution(JointDistribution(Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), IndependentCopula(dimension = 5)))
Distribution  MaximumDistribution(JointDistribution(Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), IndependentCopula(dimension = 5)))
Elliptical =  False
Continuous =  True
oneRealization= [0.859685]
oneSample first= [1.78646]  last= [2.18777]
mean= [1.16148]
covariance= [[ 0.457225 ]]
Kolmogorov test for the generator, sample size= 100  is accepted
Kolmogorov test for the generator, sample size= 1000  is accepted
Point=  [1.0]
ddf     = [0.0911751]
log pdf=-0.50052
pdf    =0.60622
cdf =0.42157
ccdf=0.57843
survival=0.57843
Inverse survival= [0.123843]
Survival(inverse survival)=0.95
quantile= [2.31868]
cdf(quantile)=0.95
quantile (tail)= [0.123843]
cdf (tail)=0.95
threshold= 0.95
Minimum volume level set= {x | f(x) <= 2.46478} with f=
MinimumVolumeLevelSetEvaluation(MaximumDistribution(JointDistribution(Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), IndependentCopula(dimension = 5))))
beta=0.085027
Bilateral confidence interval= [-0.0547313, 2.57233]
beta=0.95
beta=0.95
beta=0.95
mean= [1.16296]
standard deviation= [0.66898]
skewness= [0.302571]
kurtosis= [3.20079]
covariance= [[ 0.447534 ]]
correlation= [[ 1 ]]
spearman= [[ 1 ]]
kendall= [[ 1 ]]
Standard representative= MaximumDistribution(JointDistribution(Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), IndependentCopula(dimension = 5)))
0.21785