Testing class Burr
checkConstructorAndDestructor()
checkCopyConstructor()
streamObject(const T & anObject)
class=Burr name=Burr dimension=1 c=1.5 k=4.5
streamObject(const T & anObject)
class=Burr name=Burr dimension=1 c=1.5 k=4.5
areSameObjects(const T & firstObject, const T & secondObject)
areDifferentObjects(const T & firstObject, const T & secondObject)
Distribution class=Burr name=Burr dimension=1 c=1.5 k=4.5
Distribution Burr(c = 1.5, k = 4.5)
Elliptical = false
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[0.393842]
oneSample first=class=Point name=Unnamed dimension=1 values=[0.719504] last=class=Point name=Unnamed dimension=1 values=[0.257588]
mean=class=Point name=Unnamed dimension=1 values=[0.383125]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.0960551]
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=[1.5]
ddf     =class=Point name=Unnamed dimension=1 values=[-0.0861923]
ddf (FD)=class=Point name=Unnamed dimension=1 values=[-0.0861923]
log pdf=-3.62306
pdf     =0.0267008
pdf (FD)=0.0267008
cdf=0.990837
ccdf=0.00916331
survival=0.00916331
pdf gradient     =class=Point name=Unnamed dimension=2 values=[-0.00992994,-0.0219098]
pdf gradient (FD)=class=Point name=Unnamed dimension=2 values=[-0.00992994,-0.0219098]
cdf gradient     =class=Point name=Unnamed dimension=2 values=[0.0108262,0.00955539]
cdf gradient (FD)=class=Point name=Unnamed dimension=2 values=[0.0108262,0.00955539]
quantile=class=Point name=Unnamed dimension=1 values=[0.963592]
cdf(quantile)=0.95
mean=class=Point name=Unnamed dimension=1 values=[0.37922]
standard deviation=class=Point name=Unnamed dimension=1 values=[0.310221]
skewness=class=Point name=Unnamed dimension=1 values=[2.16221]
kurtosis=class=Point name=Unnamed dimension=1 values=[13.2624]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.0962368]
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=[[c : 1.5, k : 4.5]]
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=[0.37922]
standard moment n=2, value=class=Point name=Unnamed dimension=1 values=[0.240044]
standard moment n=3, value=class=Point name=Unnamed dimension=1 values=[0.228571]
standard moment n=4, value=class=Point name=Unnamed dimension=1 values=[0.324466]
standard moment n=5, value=class=Point name=Unnamed dimension=1 values=[0.738598]
Standard representative=Burr(c = 1.5, k = 4.5)
