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