distribution= ConditionalDistribution(X with X|Theta~ComposedDistribution(Theta), Theta=f(Y), f=[y0,y1,y2,y3]->[y0,y1,y2,y3], Y~ComposedDistribution(Dirac(point = [1]), Dirac(point = [2]), Bernoulli(p = 0.7), Uniform(a = 3, b = 4), IndependentCopula(dimension = 4)))
Parameters  [[point_0_marginal_0 : 1],[point_0_marginal_1 : 2],[p_marginal_2 : 0.7],[a_marginal_3 : 3, b_marginal_3 : 4],[]]
Mean  [1.5,2.1]
Covariance  [[ 0.0833333 0         ]
 [ 0         0.751111  ]]
Elliptical distribution=  False
Elliptical copula=  False
Independent copula=  False
oneRealization= [1.13528,1.0937]
oneSample=     [ X0      X1      ]
0 : [ 1.92068 2.49374 ]
1 : [ 1.71438 1.87896 ]
2 : [ 1.8835  1.80748 ]
3 : [ 1.68457 3.16374 ]
4 : [ 1.58862 1.53788 ]
5 : [ 1.21044 2.02765 ]
6 : [ 1.98184 3.21605 ]
7 : [ 1.25986 2.2968  ]
8 : [ 1.11108 1.85243 ]
9 : [ 1.97898 2.729   ]
anotherSample mean= [1.50538,2.09375]
anotherSample covariance= [[  0.0847776   -0.000929088 ]
 [ -0.000929088  0.74965     ]]
Zero point=  [0,0]  pdf= 0.0  cdf= 0.0
Quantile= [1.97468,3.60341]
CDF(quantile)= 0.95
InverseSurvival= class=Point name=Unnamed dimension=2 values=[1.02532,0.293386]
Survival(inverseSurvival)=0.950000
Unilateral confidence interval (lower tail)= [-1, 1.97468]
[-1, 3.60341]
beta= [0.974679]
Unilateral confidence interval (upper tail)= [1.02532, 1]
[0.293386, 1]
beta= [0.974679]
conditioning distribution= ComposedDistribution(Uniform(a = 0, b = 1), Uniform(a = 1, b = 2), IndependentCopula(dimension = 2))
Distribution  ConditionalDistribution(X with X|Theta~Normal(Theta), Theta=f(Y), f=[y0,y1]->[y0,y1], Y~ComposedDistribution(Uniform(a = 0, b = 1), Uniform(a = 1, b = 2), IndependentCopula(dimension = 2)))
Parameters  [[a_marginal_0 : 0, b_marginal_0 : 1],[a_marginal_1 : 1, b_marginal_1 : 2],[]]
Mean  [0.5]
Covariance  [[ 2.41667 ]]
Elliptical distribution=  False
Elliptical copula=  True
Independent copula=  True
oneRealization= [-0.21251]
oneSample=     [ X0         ]
0 : [  1.04021   ]
1 : [ -0.768799  ]
2 : [ -0.0327311 ]
3 : [  1.95381   ]
4 : [  1.43698   ]
5 : [  1.31895   ]
6 : [  2.05226   ]
7 : [ -1.44045   ]
8 : [  2.03224   ]
9 : [  0.258808  ]
anotherSample mean= [0.503649]
anotherSample covariance= [[ 2.41134 ]]
Zero point=  [0]  pdf=0.253748  cdf=0.367604
Quantile= [3.05046]
CDF(quantile)= 0.95
InverseSurvival= class=Point name=Unnamed dimension=1 values=[-2.05046]
Survival(inverseSurvival)=0.950000
conditioning distribution= ComposedDistribution(Binomial(n = 3, p = 0.5), Uniform(a = 1, b = 2), IndependentCopula(dimension = 2))
Distribution  ConditionalDistribution(X with X|Theta~Normal(Theta), Theta=f(Y), f=[y0,y1]->[y0,y1], Y~ComposedDistribution(Binomial(n = 3, p = 0.5), Uniform(a = 1, b = 2), IndependentCopula(dimension = 2)))
Parameters  [[n_marginal_0 : 3, p_marginal_0 : 0.5],[a_marginal_1 : 1, b_marginal_1 : 2],[]]
Mean  [1.5]
Covariance  [[ 3.08333 ]]
Elliptical distribution=  False
Elliptical copula=  True
Independent copula=  True
oneRealization= [2.22062]
oneSample=     [ X0        ]
0 : [  0.106685 ]
1 : [  1.52532  ]
2 : [  3.2931   ]
3 : [  4.70326  ]
4 : [  2.99546  ]
5 : [  5.81408  ]
6 : [  2.47839  ]
7 : [  3.09905  ]
8 : [  4.94457  ]
9 : [ -0.310612 ]
anotherSample mean= [1.49593]
anotherSample covariance= [[ 3.16541 ]]
Zero point=  [0]  pdf=0.156744  cdf=0.192205
Quantile= [4.38019]
CDF(quantile)= 0.95
InverseSurvival= class=Point name=Unnamed dimension=1 values=[-1.38019]
Survival(inverseSurvival)=0.950000
conditioning distribution= ComposedDistribution(Dirac(point = [0.5]), Uniform(a = 1, b = 2), IndependentCopula(dimension = 2))
Distribution  ConditionalDistribution(X with X|Theta~Normal(Theta), Theta=f(Y), f=[y0,y1]->[y0,y1], Y~ComposedDistribution(Dirac(point = [0.5]), Uniform(a = 1, b = 2), IndependentCopula(dimension = 2)))
Parameters  [[point_0_marginal_0 : 0.5],[a_marginal_1 : 1, b_marginal_1 : 2],[]]
Mean  [0.5]
Covariance  [[ 2.33333 ]]
Elliptical distribution=  False
Elliptical copula=  True
Independent copula=  True
oneRealization= [-0.917771]
oneSample=     [ X0        ]
0 : [  2.27217  ]
1 : [ -0.858827 ]
2 : [ -0.344631 ]
3 : [  0.480758 ]
4 : [  3.19028  ]
5 : [  0.813164 ]
6 : [  1.29442  ]
7 : [ -1.95841  ]
8 : [ -1.39477  ]
9 : [  0.861998 ]
anotherSample mean= [0.528452]
anotherSample covariance= [[ 2.34096 ]]
Zero point=  [0]  pdf=0.258535  cdf=0.364782
Quantile= [3.00635]
CDF(quantile)= 0.95
InverseSurvival= class=Point name=Unnamed dimension=1 values=[-2.00635]
Survival(inverseSurvival)=0.950000
