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})
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=[-0.111859]
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     =0.437500
pdf (FD)=0.437500
cdf=0.543750
ccdf=0.456250
quantile= class=Point name=Unnamed dimension=1 values=[2.14]
cdf(quantile)=0.950000
InverseSurvival= class=Point name=Unnamed dimension=1 values=[-0.7]
Survival(inverseSurvival)=0.950000
Minimum volume interval= [-0.7, 2.3]
threshold= [0.95]
Minimum volume level set= {x | f(x) <= 2.77259} with f=
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}))
beta= [0.0625]
Bilateral confidence interval= [-1.1, 2.22]
beta= [0.95]
Unilateral confidence interval (lower tail)= [-1.5, 2.14]
beta= [0.95]
Unilateral confidence interval (upper tail)= [-0.7, 2.3]
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]
parameters= [class=PointWithDescription name=X0 dimension=9 description=[first,width_0,height_0,width_1,height_1,width_2,height_2,width_3,height_3] values=[-1.5,1,0.0625,0.7,0.1875,1.2,0.4375,0.9,0.3125]]
standard moment n= 0  value= [1]
standard moment n= 1  value= [0.241118]
standard moment n= 2  value= [0.257641]
standard moment n= 3  value= [0.120302]
standard moment n= 4  value= [0.145552]
standard moment n= 5  value= [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})
