Testing class Binomial
checkConstructorAndDestructor()
checkCopyConstructor()
streamObject(const T & anObject)
class=Binomial name=Binomial dimension=1 n=15 p=0.7
streamObject(const T & anObject)
class=Binomial name=Binomial dimension=1 n=15 p=0.7
areSameObjects(const T & firstObject, const T & secondObject)
areDifferentObjects(const T & firstObject, const T & secondObject)
Distribution class=Binomial name=Binomial dimension=1 n=15 p=0.7
Distribution Binomial(n = 15, p = 0.7)
Elliptical = false
Continuous = false
oneRealization=class=Point name=Unnamed dimension=1 values=[10]
oneSample first=class=Point name=Unnamed dimension=1 values=[8] last=class=Point name=Unnamed dimension=1 values=[11]
mean=class=Point name=Unnamed dimension=1 values=[10.4842]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[3.20027]
Point= class=Point name=Unnamed dimension=1 values=[5]
log pdf=-5.81574
pdf     =0.00298029
pdf (FD)=0.00298029
cdf=0.00365252
ccdf=0.996347
survival=0.996347
quantile=class=Point name=Unnamed dimension=1 values=[13]
cdf(quantile)=0.964732
quantile (tail)=class=Point name=Unnamed dimension=1 values=[6]
cdf (tail)=0.984757
characteristic function=(0.0107296,-0.0674204)
log characteristic function=(-2.6843,-13.9793)
generating function=(0.00258535,-0.00490073)
log generating function=(-5.1956,11.481)
mean=class=Point name=Unnamed dimension=1 values=[10.5]
standard deviation=class=Point name=Unnamed dimension=1 values=[1.77482]
skewness=class=Point name=Unnamed dimension=1 values=[-0.225374]
kurtosis=class=Point name=Unnamed dimension=1 values=[2.91746]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[3.15]
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=[[n : 15, 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=[113.4]
standard moment n=3, value=class=Point name=Unnamed dimension=1 values=[1255.59]
standard moment n=4, value=class=Point name=Unnamed dimension=1 values=[14214.8]
standard moment n=5, value=class=Point name=Unnamed dimension=1 values=[164186]
Standard representative=Binomial(n = 15, p = 0.7)
