ticks=class=Point name=Unnamed dimension=5 values=[-1.5,-0.5,0.2,1.4,2.3] frequencies=class=Point name=Unnamed dimension=4 values=[0.5,1.05,4.2,2.25]
Distribution class=Histogram name=Histogram dimension=1 first=-1.5 width=class=Point name=Unnamed dimension=4 values=[1,0.7,1.2,0.9] height=class=Point name=Unnamed dimension=4 values=[0.0625,0.1875,0.4375,0.3125]
Distribution Histogram(origin = -1.5, {w0 = 1, h0 = 0.0625}, {w1 = 0.7, h1 = 0.1875}, {w2 = 1.2, h2 = 0.4375}, {w3 = 0.9, h3 = 0.3125})
l=class=Point name=Unnamed dimension=4 values=[1,0.7,1.2,0.9] h=class=Point name=Unnamed dimension=4 values=[0.5,1.5,3.5,2.5]
Distribution class=Histogram name=Histogram dimension=1 first=-1.5 width=class=Point name=Unnamed dimension=4 values=[1,0.7,1.2,0.9] height=class=Point name=Unnamed dimension=4 values=[0.0625,0.1875,0.4375,0.3125]
Distribution Histogram(origin = -1.5, {w0 = 1, h0 = 0.0625}, {w1 = 0.7, h1 = 0.1875}, {w2 = 1.2, h2 = 0.4375}, {w3 = 0.9, h3 = 0.3125})
Elliptical = false
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[1.19686]
oneSample first=class=Point name=Unnamed dimension=1 values=[1.92498] last=class=Point name=Unnamed dimension=1 values=[0.727936]
mean=class=Point name=Unnamed dimension=1 values=[0.866401]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.732365]
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]
ddf     =class=Point name=Unnamed dimension=1 values=[0]
ddf (FD)=class=Point name=Unnamed dimension=1 values=[0]
log pdf=-0.826679
pdf     =0.4375
pdf (FD)=0.4375
cdf=0.54375
ccdf=0.45625
survival=0.45625
Inverse survival=class=Point name=Unnamed dimension=1 values=[-0.7]
Survival(inverse survival)=0.95
quantile=class=Point name=Unnamed dimension=1 values=[2.14]
cdf(quantile)=0.95
Minimum volume interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-0.7] upper bound=class=Point name=Unnamed dimension=1 values=[2.3] finite lower bound=[1] finite upper bound=[1]
threshold=0.95
Minimum volume level set=class=LevelSet name=Unnamed dimension=1 function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=MinimumVolumeLevelSetEvaluation(Histogram(origin = -1.5, {w0 = 1, h0 = 0.0625}, {w1 = 0.7, h1 = 0.1875}, {w2 = 1.2, h2 = 0.4375}, {w3 = 0.9, h3 = 0.3125})) gradientImplementation=MinimumVolumeLevelSetGradient(Histogram(origin = -1.5, {w0 = 1, h0 = 0.0625}, {w1 = 0.7, h1 = 0.1875}, {w2 = 1.2, h2 = 0.4375}, {w3 = 0.9, h3 = 0.3125})) hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=MinimumVolumeLevelSetEvaluation(Histogram(origin = -1.5, {w0 = 1, h0 = 0.0625}, {w1 = 0.7, h1 = 0.1875}, {w2 = 1.2, h2 = 0.4375}, {w3 = 0.9, h3 = 0.3125})) level=2.77259
beta=0.0625
Bilateral confidence interval=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-1.1] upper bound=class=Point name=Unnamed dimension=1 values=[2.22] finite lower bound=[1] finite upper bound=[1]
beta=0.95
Unilateral confidence interval (lower tail)=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-1.5] upper bound=class=Point name=Unnamed dimension=1 values=[2.14] finite lower bound=[1] finite upper bound=[1]
beta=0.95
Unilateral confidence interval (upper tail)=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[-0.7] upper bound=class=Point name=Unnamed dimension=1 values=[2.3] finite lower bound=[1] finite upper bound=[1]
beta=0.95
mean=class=Point name=Unnamed dimension=1 values=[0.858125]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.720205]
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=[[first : -1.5, width_0 : 1, height_0 : 0.0625, width_1 : 0.7, height_1 : 0.1875, width_2 : 1.2, height_2 : 0.4375, width_3 : 0.9, height_3 : 0.3125]]
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=[0.241118]
standard moment n=2, value=class=Point name=Unnamed dimension=1 values=[0.257641]
standard moment n=3, value=class=Point name=Unnamed dimension=1 values=[0.120302]
standard moment n=4, value=class=Point name=Unnamed dimension=1 values=[0.145552]
standard moment n=5, value=class=Point name=Unnamed dimension=1 values=[0.0795608]
Standard representative=Histogram(origin = -1, {w0 = 0.526316, h0 = 0.11875}, {w1 = 0.368421, h1 = 0.35625}, {w2 = 0.631579, h2 = 0.83125}, {w3 = 0.473684, h3 = 0.59375})
q@0=2
q@0.1=2.2
q@0.2=2.4
q@0.3=2.6
q@0.4=2.8
q@0.5=3
q@0.6=3.4
q@0.7=3.8
q@0.8=4.2
q@0.9=4.6
