1Testing class ChiSquare
2checkConstructorAndDestructor()
3checkCopyConstructor()
4streamObject(const T & anObject)
5class=ChiSquare name=ChiSquare dimension=1 nu=1.5
6streamObject(const T & anObject)
7class=ChiSquare name=ChiSquare dimension=1 nu=1.5
8areSameObjects(const T & firstObject, const T & secondObject)
9areDifferentObjects(const T & firstObject, const T & secondObject)
10Distribution class=ChiSquare name=ChiSquare dimension=1 nu=1.5
11Distribution ChiSquare(nu = 1.5)
12Elliptical = false
13Continuous = true
14oneRealization=class=Point name=Unnamed dimension=1 values=[2.77998]
15oneSample first=class=Point name=Unnamed dimension=1 values=[2.51653] last=class=Point name=Unnamed dimension=1 values=[1.04578]
16mean=class=Point name=Unnamed dimension=1 values=[1.49285]
17covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[2.84211]
18Kolmogorov test for the generator, sample size=100 is accepted
19Kolmogorov test for the generator, sample size=1000 is accepted
20Point= class=Point name=Unnamed dimension=1 values=[1]
21ddf     =class=Point name=Unnamed dimension=1 values=[-0.220728]
22log pdf=-1.22314
23pdf     =0.294304
24pdf (FD)=0.294304
25cdf=0.527937
26ccdf=0.472063
27survival=0.472063
28Inverse survival=class=Point name=Unnamed dimension=1 values=[0.0332328]
29Survival(inverse survival)=0.95
30characteristic function=(0.368925,0.403688)
31log characteristic function=(-0.603539,0.830362)
32pdf gradient     =class=Point name=Unnamed dimension=1 values=[0.0577886]
33pdf gradient (FD)=class=Point name=Unnamed dimension=1 values=[0.0577886]
34cdf gradient     =class=Point name=Unnamed dimension=1 values=[-0.291714]
35cdf gradient (FD)=class=Point name=Unnamed dimension=1 values=[-0.291714]
36quantile=class=Point name=Unnamed dimension=1 values=[4.9802]
37cdf(quantile)=0.95
38Minimum volume interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[0] upper bound=class=Point name=Unnamed dimension=1 values=[4.9802] finite lower bound=[1] finite upper bound=[1]
39threshold=0.95
40Minimum volume level set=class=LevelSet name=Unnamed dimension=1 function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[X0,-logPDF] evaluationImplementation=MinimumVolumeLevelSetEvaluation(ChiSquare(nu = 1.5)) gradientImplementation=MinimumVolumeLevelSetGradient(ChiSquare(nu = 1.5)) hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=MinimumVolumeLevelSetEvaluation(ChiSquare(nu = 1.5)) level=3.61461
41beta=0.0269275
42Bilateral confidence interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[0.013113] upper bound=class=Point name=Unnamed dimension=1 values=[6.27581] finite lower bound=[1] finite upper bound=[1]
43beta=0.95
44Unilateral confidence interval (lower tail)=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[0] upper bound=class=Point name=Unnamed dimension=1 values=[4.9802] finite lower bound=[1] finite upper bound=[1]
45beta=0.95
46Unilateral confidence interval (upper tail)=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[0.0332328] upper bound=class=Point name=Unnamed dimension=1 values=[39.9307] finite lower bound=[1] finite upper bound=[1]
47beta=0.95
48entropy=1.37496
49entropy (MC)=1.37461
50mean=class=Point name=Unnamed dimension=1 values=[1.5]
51covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[3]
52correlation=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
53spearman=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
54kendall=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
55parameters=[[nu : 1.5]]
56standard moment n=0, value=class=Point name=Unnamed dimension=1 values=[1]
57standard moment n=1, value=class=Point name=Unnamed dimension=1 values=[0.75]
58standard moment n=2, value=class=Point name=Unnamed dimension=1 values=[1.3125]
59standard moment n=3, value=class=Point name=Unnamed dimension=1 values=[3.6094]
60standard moment n=4, value=class=Point name=Unnamed dimension=1 values=[13.535]
61standard moment n=5, value=class=Point name=Unnamed dimension=1 values=[64.292]
62Standard representative=Gamma(k = 0.75, lambda = 1, gamma = 0)
63nu=1.5
64standard deviation=class=Point name=Unnamed dimension=1 values=[1.73205]
65skewness=class=Point name=Unnamed dimension=1 values=[2.3094]
66kurtosis=class=Point name=Unnamed dimension=1 values=[11]
67