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]
ddf (FD)=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,-0.5]
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,y0] 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
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 moment n=0, value=class=Point name=Unnamed dimension=1 values=[1]
standard moment n=1, value=class=Point name=Unnamed dimension=1 values=[0.111111]
standard moment n=2, value=class=Point name=Unnamed dimension=1 values=[0.185185]
standard moment n=3, value=class=Point name=Unnamed dimension=1 values=[0.037037]
standard moment n=4, value=class=Point name=Unnamed dimension=1 values=[0.0748971]
standard moment n=5, value=class=Point name=Unnamed dimension=1 values=[0.0178326]
Standard representative=Triangular(a = -1, m = 0.333333, b = 1)
