Distribution class=TruncatedDistribution name=TruncatedDistribution distribution=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[2] sigma=class=Point name=Unnamed dimension=1 values=[1.5] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] lowerBound=1 finiteLowerBound=true upperBound=4 finiteUpperBound=true thresholdRealization=0.5
Distribution TruncatedDistribution(Normal(mu = 2, sigma = 1.5), a = 1, b = 4)
Elliptical = false
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[2.9123]
oneSample first=class=Point name=Unnamed dimension=1 values=[1.3426] last=class=Point name=Unnamed dimension=1 values=[3.87446]
mean=class=Point name=Unnamed dimension=1 values=[2.34616]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.63794]
Point= class=Point name=Unnamed dimension=1 values=[2.5]
ddf      =class=Point name=Unnamed dimension=1 values=[-0.0851881]
ddf (ref)=class=Point name=Unnamed dimension=1 values=[-0.0851881]
pdf      =0.383346
pdf (ref)=0.383346
cdf      =0.57606
cdf (ref)=0.57606
pdf gradient      =class=Point name=Unnamed dimension=4 values=[0.02466,-0.0590839,0.124394,-0.0638662]
pdf gradient (ref)=class=Point name=Unnamed dimension=4 values=[0.02466,-0.0590839,0.124394,-0.0638662]
cdf gradient      =class=Point name=Unnamed dimension=4 values=[-0.149807,-0.0915298,-0.137567,-0.0959726]
cdf gradient (ref)=class=Point name=Unnamed dimension=4 values=[-0.149807,-0.0915298,-0.137567,-0.0959726]
quantile      =class=Point name=Unnamed dimension=1 values=[3.73264]
quantile (ref)=class=Point name=Unnamed dimension=1 values=[3.73264]
cdf(quantile)=0.95
mean      =class=Point name=Unnamed dimension=1 values=[2.35526]
mean (ref)=class=Point name=Unnamed dimension=1 values=[2.35526]
standard deviation      =class=Point name=Unnamed dimension=1 values=[0.802475]
standard deviation (ref)=class=Point name=Unnamed dimension=1 values=[0.802475]
skewness      =class=Point name=Unnamed dimension=1 values=[0.190048]
skewness (ref)=class=Point name=Unnamed dimension=1 values=[0.190048]
kurtosis      =class=Point name=Unnamed dimension=1 values=[1.9933]
kurtosis (ref)=class=Point name=Unnamed dimension=1 values=[1.9933]
covariance      =class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.643966]
covariance (ref)=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.643966]
parameters      =[[mean_0 : 2, standard_deviation_0 : 1.5, finiteLowerBound : 1, lowerBound : 1, finiteUpperBound : 1, upperBound : 4]]
parameters (ref)=[[mu : 2, sigma : 1.5, a : 1, b : 4]]
standard moment n=0, value=class=Point name=Unnamed dimension=1 values=[1]
standard moment n=1, value=class=Point name=Unnamed dimension=1 values=[2.35526]
standard moment n=2, value=class=Point name=Unnamed dimension=1 values=[6.19122]
standard moment n=3, value=class=Point name=Unnamed dimension=1 values=[17.7136]
standard moment n=4, value=class=Point name=Unnamed dimension=1 values=[53.9574]
standard moment n=5, value=class=Point name=Unnamed dimension=1 values=[172.105]
Standard representative=TruncatedDistribution(Normal(mu = 2, sigma = 1.5), a = 1, b = 4)
lowerBound=1
upperBound=4
Distribution parameters      =[2,1.5,1,1,1,4]
Distribution after setParameter =[1,1.5,1,1,1,4]
Distribution class=TruncatedDistribution name=TruncatedDistribution distribution=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[2] sigma=class=Point name=Unnamed dimension=1 values=[1.5] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] lowerBound=1 finiteLowerBound=true upperBound=13.4759 finiteUpperBound=false thresholdRealization=0.5
Distribution TruncatedDistribution(Normal(mu = 2, sigma = 1.5), a = 1, b = +inf)
Elliptical = false
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[2.69199]
oneSample first=class=Point name=Unnamed dimension=1 values=[2.79367] last=class=Point name=Unnamed dimension=1 values=[1.76978]
mean=class=Point name=Unnamed dimension=1 values=[2.64435]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1.23607]
Point= class=Point name=Unnamed dimension=1 values=[2.5]
ddf      =class=Point name=Unnamed dimension=1 values=[-0.0747934]
ddf (ref)=class=Point name=Unnamed dimension=1 values=[-0.0747934]
pdf      =0.33657
pdf (ref)=0.33657
cdf      =0.505769
cdf (ref)=0.505769
pdf gradient      =class=Point name=Unnamed dimension=3 values=[-0.0210957,-0.135523,0.0958891]
pdf gradient (ref)=class=Point name=Unnamed dimension=4 values=[-0.0210957,-0.135523,0.0958891,0]
cdf gradient      =class=Point name=Unnamed dimension=3 values=[-0.195764,-0.206061,-0.140807]
cdf gradient (ref)=class=Point name=Unnamed dimension=4 values=[-0.195764,-0.206061,-0.140807,0]
quantile      =class=Point name=Unnamed dimension=1 values=[4.67299]
quantile (ref)=class=Point name=Unnamed dimension=1 values=[4.67299]
cdf(quantile)=0.95
mean      =class=Point name=Unnamed dimension=1 values=[2.64103]
mean (ref)=class=Point name=Unnamed dimension=1 values=[2.64103]
standard deviation      =class=Point name=Unnamed dimension=1 values=[1.09456]
standard deviation (ref)=class=Point name=Unnamed dimension=1 values=[1.09456]
skewness      =class=Point name=Unnamed dimension=1 values=[0.730758]
skewness (ref)=class=Point name=Unnamed dimension=1 values=[0.730758]
kurtosis      =class=Point name=Unnamed dimension=1 values=[3.23251]
kurtosis (ref)=class=Point name=Unnamed dimension=1 values=[3.23251]
covariance      =class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1.19806]
covariance (ref)=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1.19806]
parameters      =[[mean_0 : 2, standard_deviation_0 : 1.5, finiteLowerBound : 1, lowerBound : 1, finiteUpperBound : 0, upperBound : 13.4759]]
parameters (ref)=[[mu : 2, sigma : 1.5, a : 1, b : 200]]
standard moment n=0, value=class=Point name=Unnamed dimension=1 values=[1]
standard moment n=1, value=class=Point name=Unnamed dimension=1 values=[2.64103]
standard moment n=2, value=class=Point name=Unnamed dimension=1 values=[8.17308]
standard moment n=3, value=class=Point name=Unnamed dimension=1 values=[28.8718]
standard moment n=4, value=class=Point name=Unnamed dimension=1 values=[113.553]
standard moment n=5, value=class=Point name=Unnamed dimension=1 values=[487.593]
Standard representative=TruncatedDistribution(Normal(mu = 2, sigma = 1.5), a = 1, b = +inf)
lowerBound=1
upperBound=13.4759
Distribution parameters      =[2,1.5,1,1,0,13.4759]
Distribution after setParameter =[1,1.5,1,1,0,12.4759]
Distribution class=TruncatedDistribution name=TruncatedDistribution distribution=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[2] sigma=class=Point name=Unnamed dimension=1 values=[1.5] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] lowerBound=-9.47594 finiteLowerBound=false upperBound=4 finiteUpperBound=true thresholdRealization=0.5
Distribution TruncatedDistribution(Normal(mu = 2, sigma = 1.5), a = -inf, b = 4)
Elliptical = false
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[2.38239]
oneSample first=class=Point name=Unnamed dimension=1 values=[1.09659] last=class=Point name=Unnamed dimension=1 values=[0.440643]
mean=class=Point name=Unnamed dimension=1 values=[1.72507]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1.64216]
Point= class=Point name=Unnamed dimension=1 values=[2.5]
ddf      =class=Point name=Unnamed dimension=1 values=[-0.0615199]
ddf (ref)=class=Point name=Unnamed dimension=1 values=[-0.0615199]
pdf      =0.27684
pdf (ref)=0.27684
cdf      =0.693845
cdf (ref)=0.693845
pdf gradient      =class=Point name=Unnamed dimension=3 values=[0.0948276,-0.119643,-0.0333077]
pdf gradient (ref)=class=Point name=Unnamed dimension=4 values=[0.0948276,-0.119643,0,-0.0333077]
cdf gradient      =class=Point name=Unnamed dimension=3 values=[-0.19336,0.0190258,-0.0834793]
cdf gradient (ref)=class=Point name=Unnamed dimension=4 values=[-0.19336,0.0190258,0,-0.0834793]
quantile      =class=Point name=Unnamed dimension=1 values=[3.64324]
quantile (ref)=class=Point name=Unnamed dimension=1 values=[3.64324]
cdf(quantile)=0.95
mean      =class=Point name=Unnamed dimension=1 values=[1.72929]
mean (ref)=class=Point name=Unnamed dimension=1 values=[1.72929]
standard deviation      =class=Point name=Unnamed dimension=1 values=[1.27879]
standard deviation (ref)=class=Point name=Unnamed dimension=1 values=[1.27879]
skewness      =class=Point name=Unnamed dimension=1 values=[-0.455767]
skewness (ref)=class=Point name=Unnamed dimension=1 values=[-0.455767]
kurtosis      =class=Point name=Unnamed dimension=1 values=[2.84601]
kurtosis (ref)=class=Point name=Unnamed dimension=1 values=[2.84601]
covariance      =class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1.6353]
covariance (ref)=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1.6353]
parameters      =[[mean_0 : 2, standard_deviation_0 : 1.5, finiteLowerBound : 0, lowerBound : -9.47594, finiteUpperBound : 1, upperBound : 4]]
parameters (ref)=[[mu : 2, sigma : 1.5, a : -200, b : 4]]
standard moment n=0, value=class=Point name=Unnamed dimension=1 values=[1]
standard moment n=1, value=class=Point name=Unnamed dimension=1 values=[1.72929]
standard moment n=2, value=class=Point name=Unnamed dimension=1 values=[4.62576]
standard moment n=3, value=class=Point name=Unnamed dimension=1 values=[12.702]
standard moment n=4, value=class=Point name=Unnamed dimension=1 values=[39.3027]
standard moment n=5, value=class=Point name=Unnamed dimension=1 values=[123.623]
Standard representative=TruncatedDistribution(Normal(mu = 2, sigma = 1.5), a = -inf, b = 4)
lowerBound=-9.47594
upperBound=4
Distribution parameters      =[2,1.5,0,-9.47594,1,4]
Distribution after setParameter =[1,1.5,0,-10.4759,1,4]
