Testing class Weibull
checkConstructorAndDestructor()
checkCopyConstructor()
streamObject(const T & anObject)
class=Weibull name=Weibull dimension=1 alpha=2 beta=1.5 gamma=-0.5
streamObject(const T & anObject)
class=Weibull name=Weibull dimension=1 alpha=2 beta=1.5 gamma=-0.5
areSameObjects(const T & firstObject, const T & secondObject)
areDifferentObjects(const T & firstObject, const T & secondObject)
Distribution class=Weibull name=Weibull dimension=1 alpha=2 beta=1.5 gamma=-0.5
Distribution Weibull(alpha = 2, beta = 1.5, gamma = -0.5)
Elliptical = false
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[1.49188]
oneSample first=class=Point name=Unnamed dimension=1 values=[2.82534] last=class=Point name=Unnamed dimension=1 values=[0.847293]
mean=class=Point name=Unnamed dimension=1 values=[1.32223]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1.52908]
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=[-0.107263]
ddf (FD)=class=Point name=Unnamed dimension=1 values=[-0.107263]
log pdf=-1.08104
pdf     =0.339242
pdf (FD)=0.339242
cdf=0.477703
ccdf=0.522297
survival=0.522297
Inverse survival=class=Point name=Unnamed dimension=1 values=[-0.223897]
Survival(inverse survival)=0.95
pdf gradient     =class=Point name=Unnamed dimension=3 values=[-0.0891733,0.191956,0.107263]
pdf gradient (FD)=class=Point name=Unnamed dimension=3 values=[-0.0891733,0.191956,0.107263]
cdf gradient     =class=Point name=Unnamed dimension=3 values=[-0.254431,-0.0975938,-0.339242]
cdf gradient (FD)=class=Point name=Unnamed dimension=3 values=[-0.254431,-0.0975938,-0.339242]
quantile=class=Point name=Unnamed dimension=1 values=[3.65622]
cdf(quantile)=0.95
Minimum volume interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-0.489737] upper bound=class=Point name=Unnamed dimension=1 values=[3.66304] 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(Weibull(alpha = 2, beta = 1.5, gamma = -0.5)) gradientImplementation=MinimumVolumeLevelSetGradient(Weibull(alpha = 2, beta = 1.5, gamma = -0.5)) hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=MinimumVolumeLevelSetEvaluation(Weibull(alpha = 2, beta = 1.5, gamma = -0.5)) level=2.92424
beta=0.0537054
Bilateral confidence interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-0.327556] upper bound=class=Point name=Unnamed dimension=1 values=[4.27485] 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=[3.65622] 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=[-0.223897] upper bound=class=Point name=Unnamed dimension=1 values=[19.7578] finite lower bound=[1] finite upper bound=[1]
beta=0.95
mean=class=Point name=Unnamed dimension=1 values=[1.30549]
standard deviation=class=Point name=Unnamed dimension=1 values=[1.22587]
skewness=class=Point name=Unnamed dimension=1 values=[1.07199]
kurtosis=class=Point name=Unnamed dimension=1 values=[4.3904]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1.50276]
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=[[alpha : 2, beta : 1.5, 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=[0.902745]
standard moment n=2, value=class=Point name=Unnamed dimension=1 values=[1.19064]
standard moment n=3, value=class=Point name=Unnamed dimension=1 values=[2]
standard moment n=4, value=class=Point name=Unnamed dimension=1 values=[4.0122]
standard moment n=5, value=class=Point name=Unnamed dimension=1 values=[9.26053]
Standard representative=Weibull(alpha = 1, beta = 1.5, gamma = 0)
