Testing class Student
checkConstructorAndDestructor()
checkCopyConstructor()
streamObject(const T & anObject)
class=Student name=Student dimension=1 nu=5 mean=class=Point name=Unnamed dimension=1 values=[-0.5] sigma=class=Point name=Unnamed dimension=1 values=[2] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
streamObject(const T & anObject)
class=Student name=Student dimension=1 nu=5 mean=class=Point name=Unnamed dimension=1 values=[-0.5] sigma=class=Point name=Unnamed dimension=1 values=[2] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
areSameObjects(const T & firstObject, const T & secondObject)
areDifferentObjects(const T & firstObject, const T & secondObject)
Distribution class=Student name=Student dimension=1 nu=6.5 mean=class=Point name=Unnamed dimension=1 values=[-0.5] sigma=class=Point name=Unnamed dimension=1 values=[5] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
Distribution Student(nu = 6.5, mu = -0.5, sigma = 5)
Elliptical = true
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[4.41402]
oneSample first=class=Point name=Unnamed dimension=1 values=[9.59681] last=class=Point name=Unnamed dimension=1 values=[-0.842336]
mean=class=Point name=Unnamed dimension=1 values=[-0.543433]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[34.9875]
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=[-0.00498004]
ddf (FD)=class=Point name=Unnamed dimension=1 values=[-0.00498004]
log pdf=-2.61826
pdf     =0.0729299
pdf (FD)=0.0729299
cdf=0.613229
ccdf=0.386771
survival=0.386771
Inverse survival=class=Point name=Unnamed dimension=1 values=[-10.0837]
Survival(inverse survival)=0.95
pdf gradient     =class=Point name=Unnamed dimension=3 values=[0.000499835,0.00498004,-0.013092]
pdf gradient (FD)=class=Point name=Unnamed dimension=3 values=[0.000499835,0.00498004,-0.013092]
cdf gradient     =class=Point name=Unnamed dimension=3 values=[0.000700682,-0.0729299,-0.021879]
cdf gradient (FD)=class=Point name=Unnamed dimension=3 values=[0.000700682,-0.0729299,-0.021879]
quantile=class=Point name=Unnamed dimension=1 values=[9.08368]
cdf(quantile)=0.95
Minimum volume interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-12.51] upper bound=class=Point name=Unnamed dimension=1 values=[11.51] 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(Student(nu = 6.5, mu = -0.5, sigma = 5)) gradientImplementation=MinimumVolumeLevelSetGradient(Student(nu = 6.5, mu = -0.5, sigma = 5)) hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=MinimumVolumeLevelSetEvaluation(Student(nu = 6.5, mu = -0.5, sigma = 5)) level=4.94915
beta=0.00708941
Bilateral confidence interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-12.51] upper bound=class=Point name=Unnamed dimension=1 values=[11.51] 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=[-1358.08] upper bound=class=Point name=Unnamed dimension=1 values=[9.08368] 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=[-10.0837] upper bound=class=Point name=Unnamed dimension=1 values=[1357.08] finite lower bound=[1] finite upper bound=[1]
beta=0.95
mean=class=Point name=Unnamed dimension=1 values=[-0.5]
standard deviation=class=Point name=Unnamed dimension=1 values=[6.00925]
skewness=class=Point name=Unnamed dimension=1 values=[0]
kurtosis=class=Point name=Unnamed dimension=1 values=[5.4]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[36.1111]
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=[[nu : 6.5, mean_0 : -0.5, standard_deviation_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=[1.44444]
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=[11.2667]
standard moment n=5, value=class=Point name=Unnamed dimension=1 values=[0]
Standard representative=Student(nu = 6.5, mu = 0, sigma = 1)
density generator=0.2245
pdf via density generator=0.0729299
density generator derivative     =-0.11225
density generator derivative (FD)=-0.11225
density generator second derivative     =0.0710916
density generator second derivative (FD)=0.0710916
