Testing class NegativeBinomial
checkConstructorAndDestructor()
checkCopyConstructor()
streamObject(const T & anObject)
class=NegativeBinomial name=NegativeBinomial dimension=1 r=4.5 p=0.7
streamObject(const T & anObject)
class=NegativeBinomial name=NegativeBinomial dimension=1 r=4.5 p=0.7
areSameObjects(const T & firstObject, const T & secondObject)
areDifferentObjects(const T & firstObject, const T & secondObject)
Distribution class=NegativeBinomial name=NegativeBinomial dimension=1 r=4.5 p=0.7
Distribution NegativeBinomial(r = 4.5, p = 0.7)
Elliptical = false
Continuous = false
oneRealization=class=Point name=Unnamed dimension=1 values=[7]
oneSample first=class=Point name=Unnamed dimension=1 values=[10] last=class=Point name=Unnamed dimension=1 values=[6]
mean=class=Point name=Unnamed dimension=1 values=[10.4746]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[35.6333]
Point= class=Point name=Unnamed dimension=1 values=[5]
log pdf=-2.75315
pdf     =0.063727
pdf (FD)=0.063727
cdf=0.203394
ccdf=0.796606
survival=0.796606
characteristic function=(-0.00363296,-1.48315e-05)
log characteristic function=(-5.6177,-3.13751)
generating function=(-0.00492972,0.00369566)
log generating function=(-5.08949,2.4983)
quantile=class=Point name=Unnamed dimension=1 values=[22]
cdf(quantile)=0.959829
mean=class=Point name=Unnamed dimension=1 values=[10.5]
standard deviation=class=Point name=Unnamed dimension=1 values=[5.91608]
skewness=class=Point name=Unnamed dimension=1 values=[0.957841]
kurtosis=class=Point name=Unnamed dimension=1 values=[4.3619]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[35]
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=[[r : 4.5, p : 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=[10.5]
standard moment n=2, value=class=Point name=Unnamed dimension=1 values=[145.25]
standard moment n=3, value=class=Point name=Unnamed dimension=1 values=[2458.46]
standard moment n=4, value=class=Point name=Unnamed dimension=1 values=[48980.9]
standard moment n=5, value=class=Point name=Unnamed dimension=1 values=[1.12011e+06]
Standard representative=NegativeBinomial(r = 4.5, p = 0.7)
