Testing class Rayleigh
checkConstructorAndDestructor()
checkCopyConstructor()
streamObject(const T & anObject)
class=Rayleigh name=Rayleigh dimension=1 sigma=2.5 gamma=-0.5
streamObject(const T & anObject)
class=Rayleigh name=Rayleigh dimension=1 sigma=2.5 gamma=-0.5
areSameObjects(const T & firstObject, const T & secondObject)
areDifferentObjects(const T & firstObject, const T & secondObject)
Distribution class=Rayleigh name=Rayleigh dimension=1 sigma=2.5 gamma=-0.5
Distribution Rayleigh(sigma = 2.5, gamma = -0.5)
Elliptical = false
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[1.90372]
oneSample first=class=Point name=Unnamed dimension=1 values=[0.748252] last=class=Point name=Unnamed dimension=1 values=[2.7717]
mean=class=Point name=Unnamed dimension=1 values=[2.61902]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[2.72183]
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=[0.0855317]
ddf (FD)=class=Point name=Unnamed dimension=1 values=[0.0855317]
log pdf=-1.60712
pdf     =0.200465
pdf (FD)=0.200465
cdf=0.16473
ccdf=0.83527
survival=0.83527
Inverse survival=class=Point name=Unnamed dimension=1 values=[0.300729]
Survival(inverse survival)=0.95
characteristic function=(-0.157515,0.242922)
log characteristic function=(-1.23953,2.14606)
pdf gradient     =class=Point name=Unnamed dimension=2 values=[-0.131505,-0.0855317]
pdf gradient (FD)=class=Point name=Unnamed dimension=2 values=[-0.131505,-0.0855317]
cdf gradient     =class=Point name=Unnamed dimension=2 values=[-0.120279,-0.200465]
cdf gradient (FD)=class=Point name=Unnamed dimension=2 values=[-0.120279,-0.200465]
quantile=class=Point name=Unnamed dimension=1 values=[5.61937]
cdf(quantile)=0.95
Minimum volume interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-0.223821] upper bound=class=Point name=Unnamed dimension=1 values=[5.75046] 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(Rayleigh(sigma = 2.5, gamma = -0.5)) gradientImplementation=MinimumVolumeLevelSetGradient(Rayleigh(sigma = 2.5, gamma = -0.5)) hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=MinimumVolumeLevelSetEvaluation(Rayleigh(sigma = 2.5, gamma = -0.5)) level=3.12539
beta=0.0439198
Bilateral confidence interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[0.062559] upper bound=class=Point name=Unnamed dimension=1 values=[6.29051] 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=[5.61937] 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=[0.300729] upper bound=class=Point name=Unnamed dimension=1 values=[19.5737] finite lower bound=[1] finite upper bound=[1]
beta=0.95
mean=class=Point name=Unnamed dimension=1 values=[2.63329]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[2.68252]
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=[[sigma : 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=[1.25331]
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=[3.75994]
standard moment n=4, value=class=Point name=Unnamed dimension=1 values=[8]
standard moment n=5, value=class=Point name=Unnamed dimension=1 values=[18.7997]
Standard representative=Rayleigh(sigma = 1, gamma = 0)
gamma=-0.5
standard deviation=class=Point name=Unnamed dimension=1 values=[1.63784]
skewness=class=Point name=Unnamed dimension=1 values=[0.631111]
kurtosis=class=Point name=Unnamed dimension=1 values=[3.24509]
sigma=2.5
