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Testing class Triangular
checkConstructorAndDestructor()
checkCopyConstructor()
streamObject(const T & anObject)
class=Triangular name=Triangular dimension=1 a=-0.5 m=1.5 b=2.5
streamObject(const T & anObject)
class=Triangular name=Triangular dimension=1 a=-0.5 m=1.5 b=2.5
areSameObjects(const T & firstObject, const T & secondObject)
areDifferentObjects(const T & firstObject, const T & secondObject)
Distribution class=Triangular name=Triangular dimension=1 a=-0.5 m=1.5 b=2.5
Distribution Triangular(a = -0.5, m = 1.5, b = 2.5)
Elliptical = false
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[1.44403]
oneSample first=class=Point name=Unnamed dimension=1 values=[1.90705] last=class=Point name=Unnamed dimension=1 values=[1.09635]
mean=class=Point name=Unnamed dimension=1 values=[1.17256]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.39567]
Kolmogorov test for the generator, sample size=100 is accepted
Kolmogorov test for the generator, sample size=1000 is accepted
Point= class=Point name=Unnamed dimension=1 values=[1]
ddf =class=Point name=Unnamed dimension=1 values=[0.333333]
log pdf=-0.693147
pdf =0.5
pdf (FD)=0.5
cdf=0.375
ccdf=0.625
survival=0.625
Inverse survival=class=Point name=Unnamed dimension=1 values=[0.0477226]
Survival(inverse survival)=0.95
characteristic function=(0.312305,0.758322)
log characteristic function=(-0.198312,1.18013)
pdf gradient =class=Point name=Unnamed dimension=3 values=[0.0833333,-0.25,-0.166667]
pdf gradient (FD)=class=Point name=Unnamed dimension=3 values=[0.0833333,-0.25,-0.166667]
cdf gradient =class=Point name=Unnamed dimension=3 values=[-0.1875,-0.1875,-0.125]
cdf gradient (FD)=class=Point name=Unnamed dimension=3 values=[-0.1875,-0.1875,-0.125]
quantile=class=Point name=Unnamed dimension=1 values=[0.724745]
cdf(quantile)=0.25
Minimum volume interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-0.0527864] upper bound=class=Point name=Unnamed dimension=1 values=[2.27639] finite lower bound=[1] finite upper bound=[1]
threshold=0.95
Minimum volume level set=class=LevelSet name=Unnamed dimension=1 function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[X0,-logPDF] evaluationImplementation=MinimumVolumeLevelSetEvaluation(Triangular(a = -0.5, m = 1.5, b = 2.5)) gradientImplementation=MinimumVolumeLevelSetGradient(Triangular(a = -0.5, m = 1.5, b = 2.5)) hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=MinimumVolumeLevelSetEvaluation(Triangular(a = -0.5, m = 1.5, b = 2.5)) level=1.90333
beta=0.149071
Bilateral confidence interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-0.112702] upper bound=class=Point name=Unnamed dimension=1 values=[2.22614] finite lower bound=[1] finite upper bound=[1]
beta=0.95
Unilateral confidence interval (lower tail)=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-0.5] upper bound=class=Point name=Unnamed dimension=1 values=[2.1127] finite lower bound=[1] finite upper bound=[1]
beta=0.95
Unilateral confidence interval (upper tail)=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[0.0477226] upper bound=class=Point name=Unnamed dimension=1 values=[2.5] finite lower bound=[1] finite upper bound=[1]
beta=0.95
Point= class=Point name=Unnamed dimension=1 values=[2]
ddf =class=Point name=Unnamed dimension=1 values=[-0.666667]
ddf (FD)=class=Point name=Unnamed dimension=1 values=[-0.666667]
pdf =0.333333
pdf (FD)=0.333333
cdf=0.916667
pdf gradient =class=Point name=Unnamed dimension=3 values=[0.111111,0.333333,0.222222]
pdf gradient (FD)=class=Point name=Unnamed dimension=3 values=[0.111111,0.333333,0.222222]
cdf gradient =class=Point name=Unnamed dimension=3 values=[-0.0277778,-0.0833333,-0.222222]
cdf gradient (FD)=class=Point name=Unnamed dimension=3 values=[-0.0277778,-0.0833333,-0.222222]
quantile=class=Point name=Unnamed dimension=1 values=[2.1127]
cdf(quantile)=0.95
entropy=0.905465
entropy (MC)=0.905897
mean=class=Point name=Unnamed dimension=1 values=[1.16667]
standard deviation=class=Point name=Unnamed dimension=1 values=[0.62361]
skewness=class=Point name=Unnamed dimension=1 values=[-0.305441]
kurtosis=class=Point name=Unnamed dimension=1 values=[2.4]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.388889]
correlation=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
spearman=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
kendall=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
parameters=[[a : -0.5, m : 1.5, b : 2.5]]
Standard representative=Triangular(a = -1, m = 0.333333, b = 1)
Distribution class=Triangular name=Triangular dimension=1 a=-0.5 m=-0.5 b=2.5
Distribution Triangular(a = -0.5, m = -0.5, b = 2.5)
Elliptical = false
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[-0.448569]
oneSample first=class=Point name=Unnamed dimension=1 values=[1.02457] last=class=Point name=Unnamed dimension=1 values=[0.576697]
mean=class=Point name=Unnamed dimension=1 values=[0.503814]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.498958]
Kolmogorov test for the generator, sample size=100 is accepted
Kolmogorov test for the generator, sample size=1000 is accepted
Point= class=Point name=Unnamed dimension=1 values=[1]
ddf =class=Point name=Unnamed dimension=1 values=[-0.222222]
log pdf=-1.09861
pdf =0.333333
pdf (FD)=0.333333
cdf=0.75
ccdf=0.25
survival=0.25
Inverse survival=class=Point name=Unnamed dimension=1 values=[-0.424038]
Survival(inverse survival)=0.95
characteristic function=(0.692667,0.345522)
log characteristic function=(-0.256102,0.46271)
quantile=class=Point name=Unnamed dimension=1 values=[-0.0980762]
cdf(quantile)=0.25
Minimum volume interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-0.5] upper bound=class=Point name=Unnamed dimension=1 values=[1.82918] finite lower bound=[1] finite upper bound=[1]
threshold=0.95
Minimum volume level set=class=LevelSet name=Unnamed dimension=1 function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[X0,-logPDF] evaluationImplementation=MinimumVolumeLevelSetEvaluation(Triangular(a = -0.5, m = -0.5, b = 2.5)) gradientImplementation=MinimumVolumeLevelSetGradient(Triangular(a = -0.5, m = -0.5, b = 2.5)) hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=MinimumVolumeLevelSetEvaluation(Triangular(a = -0.5, m = -0.5, b = 2.5)) level=1.90333
beta=0.149071
Bilateral confidence interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-0.462263] upper bound=class=Point name=Unnamed dimension=1 values=[2.02566] finite lower bound=[1] finite upper bound=[1]
beta=0.95
Unilateral confidence interval (lower tail)=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-0.5] upper bound=class=Point name=Unnamed dimension=1 values=[1.82918] finite lower bound=[1] finite upper bound=[1]
beta=0.95
Unilateral confidence interval (upper tail)=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-0.424038] upper bound=class=Point name=Unnamed dimension=1 values=[2.5] finite lower bound=[1] finite upper bound=[1]
beta=0.95
Point= class=Point name=Unnamed dimension=1 values=[2]
ddf =class=Point name=Unnamed dimension=1 values=[-0.222222]
ddf (FD)=class=Point name=Unnamed dimension=1 values=[-0.222222]
pdf =0.111111
pdf (FD)=0.111111
cdf=0.972222
quantile=class=Point name=Unnamed dimension=1 values=[1.82918]
cdf(quantile)=0.95
entropy=0.905465
entropy (MC)=0.905233
mean=class=Point name=Unnamed dimension=1 values=[0.5]
standard deviation=class=Point name=Unnamed dimension=1 values=[0.707107]
skewness=class=Point name=Unnamed dimension=1 values=[0.565685]
kurtosis=class=Point name=Unnamed dimension=1 values=[2.4]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.5]
correlation=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
spearman=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
kendall=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
parameters=[[a : -0.5, m : -0.5, b : 2.5]]
Standard representative=Triangular(a = -1, m = -1, b = 1)
Distribution class=Triangular name=Triangular dimension=1 a=-0.5 m=2.5 b=2.5
Distribution Triangular(a = -0.5, m = 2.5, b = 2.5)
Elliptical = false
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[1.87854]
oneSample first=class=Point name=Unnamed dimension=1 values=[0.529311] last=class=Point name=Unnamed dimension=1 values=[1.91944]
mean=class=Point name=Unnamed dimension=1 values=[1.50193]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.50609]
Kolmogorov test for the generator, sample size=100 is accepted
Kolmogorov test for the generator, sample size=1000 is accepted
Point= class=Point name=Unnamed dimension=1 values=[1]
ddf =class=Point name=Unnamed dimension=1 values=[0.222222]
log pdf=-1.09861
pdf =0.333333
pdf (FD)=0.333333
cdf=0.25
ccdf=0.75
survival=0.75
Inverse survival=class=Point name=Unnamed dimension=1 values=[0.17082]
Survival(inverse survival)=0.95
characteristic function=(0.0259312,0.773629)
log characteristic function=(-0.256102,1.53729)
quantile=class=Point name=Unnamed dimension=1 values=[1]
cdf(quantile)=0.25
Minimum volume interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[0.17082] upper bound=class=Point name=Unnamed dimension=1 values=[2.5] finite lower bound=[1] finite upper bound=[1]
threshold=0.95
Minimum volume level set=class=LevelSet name=Unnamed dimension=1 function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[X0,-logPDF] evaluationImplementation=MinimumVolumeLevelSetEvaluation(Triangular(a = -0.5, m = 2.5, b = 2.5)) gradientImplementation=MinimumVolumeLevelSetGradient(Triangular(a = -0.5, m = 2.5, b = 2.5)) hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=MinimumVolumeLevelSetEvaluation(Triangular(a = -0.5, m = 2.5, b = 2.5)) level=1.90333
beta=0.149071
Bilateral confidence interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-0.0256584] upper bound=class=Point name=Unnamed dimension=1 values=[2.46226] finite lower bound=[1] finite upper bound=[1]
beta=0.95
Unilateral confidence interval (lower tail)=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-0.5] upper bound=class=Point name=Unnamed dimension=1 values=[2.42404] finite lower bound=[1] finite upper bound=[1]
beta=0.95
Unilateral confidence interval (upper tail)=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[0.17082] upper bound=class=Point name=Unnamed dimension=1 values=[2.5] finite lower bound=[1] finite upper bound=[1]
beta=0.95
Point= class=Point name=Unnamed dimension=1 values=[2]
ddf =class=Point name=Unnamed dimension=1 values=[0.222222]
ddf (FD)=class=Point name=Unnamed dimension=1 values=[0.222222]
pdf =0.555556
pdf (FD)=0.555556
cdf=0.694444
quantile=class=Point name=Unnamed dimension=1 values=[2.42404]
cdf(quantile)=0.95
entropy=0.905465
entropy (MC)=0.905983
mean=class=Point name=Unnamed dimension=1 values=[1.5]
standard deviation=class=Point name=Unnamed dimension=1 values=[0.707107]
skewness=class=Point name=Unnamed dimension=1 values=[-0.565685]
kurtosis=class=Point name=Unnamed dimension=1 values=[2.4]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.5]
correlation=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
spearman=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
kendall=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
parameters=[[a : -0.5, m : 2.5, b : 2.5]]
Standard representative=Triangular(a = -1, m = 1, b = 1)
Distribution class=Triangular name=Triangular dimension=1 a=-2.5 m=0 b=2.5
Distribution Triangular(a = -2.5, m = 0, b = 2.5)
Elliptical = true
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[2.29272]
oneSample first=class=Point name=Unnamed dimension=1 values=[1.22613] last=class=Point name=Unnamed dimension=1 values=[0.669551]
mean=class=Point name=Unnamed dimension=1 values=[0.00155171]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1.02717]
Kolmogorov test for the generator, sample size=100 is accepted
Kolmogorov test for the generator, sample size=1000 is accepted
Point= class=Point name=Unnamed dimension=1 values=[1]
ddf =class=Point name=Unnamed dimension=1 values=[-0.16]
log pdf=-1.42712
pdf =0.24
pdf (FD)=0.24
cdf=0.82
ccdf=0.18
survival=0.18
Inverse survival=class=Point name=Unnamed dimension=1 values=[-1.70943]
Survival(inverse survival)=0.95
characteristic function=(0.576366,0)
log characteristic function=(-0.551012,0)
pdf gradient =class=Point name=Unnamed dimension=3 values=[0.048,0.096,0.016]
pdf gradient (FD)=class=Point name=Unnamed dimension=3 values=[0.048,0.096,0.016]
cdf gradient =class=Point name=Unnamed dimension=3 values=[-0.036,-0.072,-0.132]
cdf gradient (FD)=class=Point name=Unnamed dimension=3 values=[-0.036,-0.072,-0.132]
quantile=class=Point name=Unnamed dimension=1 values=[-0.732233]
cdf(quantile)=0.25
Minimum volume interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-1.94098] upper bound=class=Point name=Unnamed dimension=1 values=[1.94098] finite lower bound=[1] finite upper bound=[1]
threshold=0.95
Minimum volume level set=class=LevelSet name=Unnamed dimension=1 function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[X0,-logPDF] evaluationImplementation=MinimumVolumeLevelSetEvaluation(Triangular(a = -2.5, m = 0, b = 2.5)) gradientImplementation=MinimumVolumeLevelSetGradient(Triangular(a = -2.5, m = 0, b = 2.5)) hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=MinimumVolumeLevelSetEvaluation(Triangular(a = -2.5, m = 0, b = 2.5)) level=2.41416
beta=0.0894427
Bilateral confidence interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-1.94098] upper bound=class=Point name=Unnamed dimension=1 values=[1.94098] finite lower bound=[1] finite upper bound=[1]
beta=0.95
Unilateral confidence interval (lower tail)=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-2.5] upper bound=class=Point name=Unnamed dimension=1 values=[1.70943] finite lower bound=[1] finite upper bound=[1]
beta=0.95
Unilateral confidence interval (upper tail)=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-1.70943] upper bound=class=Point name=Unnamed dimension=1 values=[2.5] finite lower bound=[1] finite upper bound=[1]
beta=0.95
Point= class=Point name=Unnamed dimension=1 values=[2]
ddf =class=Point name=Unnamed dimension=1 values=[-0.16]
ddf (FD)=class=Point name=Unnamed dimension=1 values=[-0.16]
pdf =0.08
pdf (FD)=0.08
cdf=0.98
pdf gradient =class=Point name=Unnamed dimension=3 values=[0.016,0.032,0.112]
pdf gradient (FD)=class=Point name=Unnamed dimension=3 values=[0.016,0.032,0.112]
cdf gradient =class=Point name=Unnamed dimension=3 values=[-0.004,-0.008,-0.068]
cdf gradient (FD)=class=Point name=Unnamed dimension=3 values=[-0.004,-0.008,-0.068]
quantile=class=Point name=Unnamed dimension=1 values=[1.70943]
cdf(quantile)=0.95
entropy=1.41629
entropy (MC)=1.41602
mean=class=Point name=Unnamed dimension=1 values=[0]
standard deviation=class=Point name=Unnamed dimension=1 values=[1.02062]
skewness=class=Point name=Unnamed dimension=1 values=[0]
kurtosis=class=Point name=Unnamed dimension=1 values=[2.4]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1.04167]
correlation=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
spearman=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
kendall=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
parameters=[[a : -2.5, m : 0, b : 2.5]]
Standard representative=Triangular(a = -1, m = 0, b = 1)
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