Testing class Exponential
checkConstructorAndDestructor()
checkCopyConstructor()
streamObject(const T & anObject)
class=Exponential name=Exponential dimension=1 lambda=2.5 gamma=-0.5
streamObject(const T & anObject)
class=Exponential name=Exponential dimension=1 lambda=2.5 gamma=-0.5
areSameObjects(const T & firstObject, const T & secondObject)
areDifferentObjects(const T & firstObject, const T & secondObject)
Distribution class=Exponential name=Exponential dimension=1 lambda=2.5 gamma=-0.5
Distribution Exponential(lambda = 2.5, gamma = -0.5)
Elliptical = false
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[-0.315107]
oneSample first=class=Point name=Unnamed dimension=1 values=[-0.45014] last=class=Point name=Unnamed dimension=1 values=[-0.157472]
mean=class=Point name=Unnamed dimension=1 values=[-0.101604]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.160734]
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=[-0.146986]
ddf (FD)=class=Point name=Unnamed dimension=1 values=[-0.146986]
log pdf=-2.83371
pdf     =0.0587944
pdf (FD)=0.0587944
cdf=0.976482
ccdf=0.0235177
survival=0.0235177
Inverse survival=class=Point name=Unnamed dimension=1 values=[-0.479483]
Survival(inverse survival)=0.95
characteristic function=(0.921856,-0.110683)
log characteristic function=(-0.07421,-0.119494)
pdf gradient     =class=Point name=Unnamed dimension=2 values=[-0.0646738,0.146986]
pdf gradient (FD)=class=Point name=Unnamed dimension=2 values=[-0.0646738,0.146986]
cdf gradient     =class=Point name=Unnamed dimension=2 values=[0.0352766,-0.0587944]
cdf gradient (FD)=class=Point name=Unnamed dimension=2 values=[0.0352766,-0.0587944]
quantile=class=Point name=Unnamed dimension=1 values=[0.698293]
cdf(quantile)=0.95
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=[0.698293] 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(Exponential(lambda = 2.5, gamma = -0.5)) gradientImplementation=MinimumVolumeLevelSetGradient(Exponential(lambda = 2.5, gamma = -0.5)) hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=MinimumVolumeLevelSetEvaluation(Exponential(lambda = 2.5, gamma = -0.5)) level=2.07944
beta=0.125
Bilateral confidence interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-0.489873] upper bound=class=Point name=Unnamed dimension=1 values=[0.975552] 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=[0.698293] 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=[-0.479483] upper bound=class=Point name=Unnamed dimension=1 values=[12.3945] finite lower bound=[1] finite upper bound=[1]
beta=0.95
mean=class=Point name=Unnamed dimension=1 values=[-0.1]
standard deviation=class=Point name=Unnamed dimension=1 values=[0.4]
skewness=class=Point name=Unnamed dimension=1 values=[2]
kurtosis=class=Point name=Unnamed dimension=1 values=[9]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.16]
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=[[lambda : 2.5, gamma : -0.5]]
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=[1]
standard moment n=2, value=class=Point name=Unnamed dimension=1 values=[2]
standard moment n=3, value=class=Point name=Unnamed dimension=1 values=[6]
standard moment n=4, value=class=Point name=Unnamed dimension=1 values=[24]
standard moment n=5, value=class=Point name=Unnamed dimension=1 values=[120]
Standard representative=Exponential(lambda = 1, gamma = 0)
