Testing class Rice
checkConstructorAndDestructor()
checkCopyConstructor()
streamObject(const T & anObject)
class=Rice name=Rice dimension=1 sigma=5 nu=4
streamObject(const T & anObject)
class=Rice name=Rice dimension=1 sigma=5 nu=4
areSameObjects(const T & firstObject, const T & secondObject)
areDifferentObjects(const T & firstObject, const T & secondObject)
Distribution class=Rice name=Rice dimension=1 sigma=5 nu=4
Distribution Rice(sigma = 5, nu = 4)
Elliptical = false
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[9.46867]
oneSample first=class=Point name=Unnamed dimension=1 values=[6.29291] last=class=Point name=Unnamed dimension=1 values=[2.16415]
mean=class=Point name=Unnamed dimension=1 values=[7.26091]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[13.4082]
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=[10]
ddf     =class=Point name=Unnamed dimension=1 values=[-0.0138143]
ddf (FD)=class=Point name=Unnamed dimension=1 values=[-0.0138143]
log pdf=-2.67669
pdf     =0.0687907
pdf (FD)=0.0687907
cdf=0.778505
ccdf=0.221495
survival=0.221495
Inverse survival=class=Point name=Unnamed dimension=1 values=[1.87781]
Survival(inverse survival)=0.95
pdf gradient (FD)=class=Point name=Unnamed dimension=2 values=[0.00902981,0.0060508]
cdf gradient (FD)=class=Point name=Unnamed dimension=2 values=[-0.103467,-0.0426433]
quantile=class=Point name=Unnamed dimension=1 values=[13.9273]
cdf(quantile)=0.95
Minimum volume interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[0.68836] upper bound=class=Point name=Unnamed dimension=1 values=[14.2519] 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(Rice(sigma = 5, nu = 4)) gradientImplementation=MinimumVolumeLevelSetGradient(Rice(sigma = 5, nu = 4)) hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=MinimumVolumeLevelSetEvaluation(Rice(sigma = 5, nu = 4)) level=3.91877
beta=0.0198656
Bilateral confidence interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[1.31981] upper bound=class=Point name=Unnamed dimension=1 values=[15.3859] 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] upper bound=class=Point name=Unnamed dimension=1 values=[13.9273] 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=[1.87781] upper bound=class=Point name=Unnamed dimension=1 values=[63] finite lower bound=[1] finite upper bound=[1]
beta=0.95
mean=class=Point name=Unnamed dimension=1 values=[7.23115]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[13.7104]
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 : 5, nu : 4]]
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=[7.23115]
standard moment n=2, value=class=Point name=Unnamed dimension=1 values=[66]
standard moment n=3, value=class=Point name=Unnamed dimension=1 values=[704.457]
standard moment n=4, value=class=Point name=Unnamed dimension=1 values=[8456]
standard moment n=5, value=class=Point name=Unnamed dimension=1 values=[111488]
Standard representative=Rice(sigma = 5, nu = 4)
nu=4
standard deviation=class=Point name=Unnamed dimension=1 values=[3.70276]
skewness=class=Point name=Unnamed dimension=1 values=[0.569607]
kurtosis=class=Point name=Unnamed dimension=1 values=[3.10633]
