Distribution  class=MeixnerDistribution name=MeixnerDistribution dimension=1 alpha=1.5 beta=0.5 delta=2.5 mu=-0.5 logNormalizationFactor=-2.11357 b=0.492762 c=-0.56861 dc=1.37171
Distribution  MeixnerDistribution(alpha = 1.5, beta = 0.5, delta = 2.5, mu = -0.5)
Elliptical =  False
Continuous =  True
oneRealization= [2.06954]
oneSample first= [0.267624]  last= [-2.89629]
mean= [0.426758]
covariance= [[ 2.89038 ]]
Kolmogorov test for the generator, sample size= 100  is  accepted
Kolmogorov test for the generator, sample size= 1000  is  accepted
Point=  [1]
log pdf=-1.517348
pdf     =0.219293
pdf (FD)=0.219283
cdf=0.640774
ccdf=0.359226
characteristic function=(0.0679463313303-0.248507038511j)
log characteristic function=(-1.35623659307-1.30390135592j)
quantile= [3.39477]
cdf(quantile)=0.950000
InverseSurvival= class=Point name=Unnamed dimension=1 values=[-2.27095]
Survival(inverseSurvival)=0.950000
Minimum volume interval= [-2.90577, 3.94843]
threshold= [0.95]
Minimum volume level set= {x | f(x) <= 3.50547} with f=
MinimumVolumeLevelSetEvaluation(MeixnerDistribution(alpha = 1.5, beta = 0.5, delta = 2.5, mu = -0.5))
beta= [0.0300325]
Bilateral confidence interval= [-2.80555, 4.06095]
beta= [0.95]
Unilateral confidence interval (lower tail)= [-18.5819, 3.39477]
beta= [0.95]
Unilateral confidence interval (upper tail)= [-2.27095, 24.6896]
beta= [0.95]
mean= [0.457532]
covariance= [[ 2.99587 ]]
parameters= [[alpha : 1.5, beta : 0.5, mu : 2.5,  : -0.5]]
standard moment n= 0 , value= [1]
standard moment n= 1 , value= [0.638355]
standard moment n= 2 , value= [1.739]
Standard representative= MeixnerDistribution(alpha = 1, beta = 0.5, delta = 2.5, mu = 0)
alpha=1.500000
beta=0.500000
delta=2.500000
mu=-0.500000
standard deviation= [1.73086]
skewness= [0.221285]
kurtosis= [3.44897]
