Testing class Laplace
checkConstructorAndDestructor()
checkCopyConstructor()
streamObject(const T & anObject)
class=Laplace name=Laplace dimension=1 lambda=1.5 mu=0.5
streamObject(const T & anObject)
class=Laplace name=Laplace dimension=1 lambda=1.5 mu=0.5
areSameObjects(const T & firstObject, const T & secondObject)
areDifferentObjects(const T & firstObject, const T & secondObject)
Distribution class=Laplace name=Laplace dimension=1 lambda=0.666667 mu=0.5
Distribution Laplace(lambda = 0.666667, mu = 0.5)
Elliptical = true
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[0.951157]
oneSample first=class=Point name=Unnamed dimension=1 values=[2.67616] last=class=Point name=Unnamed dimension=1 values=[0.255241]
mean=class=Point name=Unnamed dimension=1 values=[0.520328]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[4.54149]
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=[-0.159229]
ddf (FD)=class=Point name=Unnamed dimension=1 values=[-0.159229]
log pdf=-1.43195
pdf     =0.238844
pdf (FD)=0.238844
cdf=0.641734
ccdf=0.358266
survival=0.358266
Inverse survival=class=Point name=Unnamed dimension=1 values=[-2.95388]
Survival(inverse survival)=0.95
characteristic function=(0.270025,0.147516)
log characteristic function=(-1.17865,0.5)
pdf gradient     =class=Point name=Unnamed dimension=2 values=[0.238844,0.159229]
pdf gradient (FD)=class=Point name=Unnamed dimension=2 values=[0.238844,0.159229]
cdf gradient     =class=Point name=Unnamed dimension=2 values=[0.179133,-0.238844]
cdf gradient (FD)=class=Point name=Unnamed dimension=2 values=[0.179133,-0.238844]
quantile=class=Point name=Unnamed dimension=1 values=[3.95388]
cdf(quantile)=0.95
Minimum volume interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-3.9936] upper bound=class=Point name=Unnamed dimension=1 values=[4.9936] 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(Laplace(lambda = 0.666667, mu = 0.5)) gradientImplementation=MinimumVolumeLevelSetGradient(Laplace(lambda = 0.666667, mu = 0.5)) hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=MinimumVolumeLevelSetEvaluation(Laplace(lambda = 0.666667, mu = 0.5)) level=4.09434
beta=0.0166667
Bilateral confidence interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-3.9936] upper bound=class=Point name=Unnamed dimension=1 values=[4.9936] 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=[-46.8158] upper bound=class=Point name=Unnamed dimension=1 values=[3.95388] 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=[-2.95388] upper bound=class=Point name=Unnamed dimension=1 values=[47.8158] finite lower bound=[1] finite upper bound=[1]
beta=0.95
mean=class=Point name=Unnamed dimension=1 values=[0.5]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[4.5]
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=[[lambda : 0.666667, mu : 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=[0]
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=[0]
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=[0]
Standard representative=Laplace(lambda = 1, mu = 0)
lambda=0.666667
mu=0.5
standard deviation=class=Point name=Unnamed dimension=1 values=[2.12132]
skewness=class=Point name=Unnamed dimension=1 values=[0]
kurtosis=class=Point name=Unnamed dimension=1 values=[6]
