Testing class Trapezoidal
checkConstructorAndDestructor()
checkCopyConstructor()
streamObject(const T & anObject)
class=Trapezoidal name=Trapezoidal dimension=1 a=1 b=2 c=3 d=4 h=0.5
streamObject(const T & anObject)
class=Trapezoidal name=Trapezoidal dimension=1 a=1 b=2 c=3 d=4 h=0.5
areSameObjects(const T & firstObject, const T & secondObject)
areDifferentObjects(const T & firstObject, const T & secondObject)
Distribution class=Trapezoidal name=Trapezoidal dimension=1 a=1 b=1.2 c=3 d=14 h=0.135135
Distribution Trapezoidal(a = 1, b = 1.2, c = 3, d = 14)
Elliptical = false
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[6.23752]
oneSample first=class=Point name=Unnamed dimension=1 values=[9.63201] last=class=Point name=Unnamed dimension=1 values=[4.32244]
mean=class=Point name=Unnamed dimension=1 values=[5.52363]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[9.34744]
skewness=class=Point name=Unnamed dimension=1 values=[0.526327]
kurtosis=class=Point name=Unnamed dimension=1 values=[2.33181]
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=[1.1]
ddf     =class=Point name=Unnamed dimension=1 values=[0.675676]
ddf (FD)=class=Point name=Unnamed dimension=1 values=[0.675676]
log pdf=-2.69463
pdf     =0.0675676
pdf (FD)=0.0675676
cdf=0.00337838
ccdf=0.996622
survival=0.996622
Inverse survival=class=Point name=Unnamed dimension=1 values=[1.47]
Survival(inverse survival)=0.95
characteristic function=(-0.115059,0.038602)
log characteristic function=(-2.10898,2.8179)
pdf gradient     =class=Point name=Unnamed dimension=4 values=[-0.333272,-0.333272,-0.00456538,-0.00456538]
pdf gradient (FD)=class=Point name=Unnamed dimension=4 values=[-0.333272,-0.333272,-0.00456538,-0.00456538]
log-pdf gradient     =class=Point name=Unnamed dimension=4 values=[-4.93243,-4.93243,-0.0675676,-0.0675676]
log-pdf gradient (FD)=class=Point name=Unnamed dimension=4 values=[-4.93243,-4.93243,-0.0675676,-0.0675676]
cdf gradient     =class=Point name=Unnamed dimension=4 values=[-0.0504474,-0.0166636,-0.000228269,-0.000228269]
cdf gradient (FD)=class=Point name=Unnamed dimension=4 values=[-0.0504474,-0.0166636,-0.000228269,-0.000228269]
quantile=class=Point name=Unnamed dimension=1 values=[11.1469]
cdf(quantile)=0.95
Minimum volume interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[1.05141] upper bound=class=Point name=Unnamed dimension=1 values=[11.1725] 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(Trapezoidal(a = 1, b = 1.2, c = 3, d = 14)) gradientImplementation=MinimumVolumeLevelSetGradient(Trapezoidal(a = 1, b = 1.2, c = 3, d = 14)) hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=MinimumVolumeLevelSetEvaluation(Trapezoidal(a = 1, b = 1.2, c = 3, d = 14)) level=3.35999
beta=0.0347356
Bilateral confidence interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[1.285] upper bound=class=Point name=Unnamed dimension=1 values=[11.9826] 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=[1] upper bound=class=Point name=Unnamed dimension=1 values=[11.1469] 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=[1.47] upper bound=class=Point name=Unnamed dimension=1 values=[14] finite lower bound=[1] finite upper bound=[1]
beta=0.95
mean=class=Point name=Unnamed dimension=1 values=[5.48108]
standard deviation=class=Point name=Unnamed dimension=1 values=[3.02371]
skewness=class=Point name=Unnamed dimension=1 values=[0.548305]
kurtosis=class=Point name=Unnamed dimension=1 values=[2.39403]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[9.1428]
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 : 1, b : 1.2, c : 3, d : 14]]
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=[-0.310603]
standard moment n=2, value=class=Point name=Unnamed dimension=1 values=[0.312872]
standard moment n=3, value=class=Point name=Unnamed dimension=1 values=[-0.176411]
standard moment n=4, value=class=Point name=Unnamed dimension=1 values=[0.1781]
standard moment n=5, value=class=Point name=Unnamed dimension=1 values=[-0.120255]
Standard representative=Trapezoidal(a = -1, b = -0.969231, c = -0.692308, d = 1)
roughness=0.101047
