Testing class Dirac
checkConstructorAndDestructor()
checkCopyConstructor()
streamObject(const T & anObject)
class=Dirac name=Dirac dimension=1 point=class=Point name=Unnamed dimension=1 values=[0.7]
streamObject(const T & anObject)
class=Dirac name=Dirac dimension=1 point=class=Point name=Unnamed dimension=1 values=[0.7]
areSameObjects(const T & firstObject, const T & secondObject)
areDifferentObjects(const T & firstObject, const T & secondObject)
Distribution class=Dirac name=Dirac dimension=1 point=class=Point name=Unnamed dimension=1 values=[0.7]
Distribution Dirac(point = [0.7])
Elliptical = true
Continuous = false
oneRealization=class=Point name=Unnamed dimension=1 values=[0.7]
oneSample first=class=Point name=Unnamed dimension=1 values=[0.7] last=class=Point name=Unnamed dimension=1 values=[0.7]
mean=class=Point name=Unnamed dimension=1 values=[0.7]
covariance=0
Point= class=Point name=Unnamed dimension=1 values=[0]
pdf     =0
pdf (FD)=0
cdf=0
ccdf=1
survival=1
Point= class=Point name=Unnamed dimension=1 values=[0.7]
log pdf=0
pdf     =1
pdf (FD)=1
cdf=1
ccdf=0
survival=0
characteristic function=(0.939373,0.342898)
log characteristic function=(0,0.35)
generating function=(0.637047,0.253185)
log generating function=(-0.377583,0.378294)
quantile=class=Point name=Unnamed dimension=1 values=[0.7]
cdf(quantile)=1
mean=class=Point name=Unnamed dimension=1 values=[0.7]
standard deviation=class=Point name=Unnamed dimension=1 values=[0]
skewness=class=Point name=Unnamed dimension=1 values=[0]
kurtosis=class=Point name=Unnamed dimension=1 values=[0]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
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=[[point_0 : 0.7]]
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=[0.7]
standard moment n=2, value=class=Point name=Unnamed dimension=1 values=[0.49]
standard moment n=3, value=class=Point name=Unnamed dimension=1 values=[0.343]
standard moment n=4, value=class=Point name=Unnamed dimension=1 values=[0.2401]
standard moment n=5, value=class=Point name=Unnamed dimension=1 values=[0.16807]
Standard representative=Dirac(point = [0.7])
Distribution class=Dirac name=Dirac dimension=4 point=class=Point name=Unnamed dimension=4 values=[2.3,2.3,2.3,2.3]
Distribution Dirac(point = [2.3,2.3,2.3,2.3])
Elliptical = true
Continuous = false
oneRealization=class=Point name=Unnamed dimension=4 values=[2.3,2.3,2.3,2.3]
oneSample first=class=Point name=Unnamed dimension=4 values=[2.3,2.3,2.3,2.3] last=class=Point name=Unnamed dimension=4 values=[2.3,2.3,2.3,2.3]
mean=class=Point name=Unnamed dimension=4 values=[2.3,2.3,2.3,2.3]
covariance=class=CovarianceMatrix dimension=4 implementation=class=MatrixImplementation name=Unnamed rows=4 columns=4 values=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
Point= class=Point name=Unnamed dimension=4 values=[0,0,0,0]
pdf     =0
pdf (FD)=0
cdf=0
ccdf=1
Point= class=Point name=Unnamed dimension=4 values=[2.3,2.3,2.3,2.3]
log pdf=0
pdf     =1
pdf (FD)=1
cdf=1
ccdf=0
quantile=class=Point name=Unnamed dimension=4 values=[2.3,2.3,2.3,2.3]
cdf(quantile)=1
mean=class=Point name=Unnamed dimension=4 values=[2.3,2.3,2.3,2.3]
standard deviation=class=Point name=Unnamed dimension=4 values=[0,0,0,0]
skewness=class=Point name=Unnamed dimension=4 values=[0,0,0,0]
kurtosis=class=Point name=Unnamed dimension=4 values=[0,0,0,0]
covariance=class=CovarianceMatrix dimension=4 implementation=class=MatrixImplementation name=Unnamed rows=4 columns=4 values=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]
correlation=class=CovarianceMatrix dimension=4 implementation=class=MatrixImplementation name=Unnamed rows=4 columns=4 values=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]
spearman=class=CovarianceMatrix dimension=4 implementation=class=MatrixImplementation name=Unnamed rows=4 columns=4 values=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]
kendall=class=CovarianceMatrix dimension=4 implementation=class=MatrixImplementation name=Unnamed rows=4 columns=4 values=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]
parameters=[[point_0 : 2.3],[point_1 : 2.3],[point_2 : 2.3],[point_3 : 2.3]]
standard moment n=0, value=class=Point name=Unnamed dimension=4 values=[1,1,1,1]
standard moment n=1, value=class=Point name=Unnamed dimension=4 values=[2.3,2.3,2.3,2.3]
standard moment n=2, value=class=Point name=Unnamed dimension=4 values=[5.29,5.29,5.29,5.29]
standard moment n=3, value=class=Point name=Unnamed dimension=4 values=[12.167,12.167,12.167,12.167]
standard moment n=4, value=class=Point name=Unnamed dimension=4 values=[27.9841,27.9841,27.9841,27.9841]
standard moment n=5, value=class=Point name=Unnamed dimension=4 values=[64.3634,64.3634,64.3634,64.3634]
Standard representative=Dirac(point = [2.3,2.3,2.3,2.3])
