1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
|
pyDist= PythonDistribution -> #1
myDist= class=PythonDistribution name=UniformNdPy description=[X0]
dimension= 1
realization= [0.629877]
sample= 0 : [ 0.882805 ]
1 : [ 0.135276 ]
2 : [ 0.0325028 ]
3 : [ 0.347057 ]
4 : [ 0.969423 ]
pdf= 1.0
cdf= 0.2
roughness= 42.0
mean= [0.5]
standard deviation= [0.288675]
skewness= [0]
kurtosis= [1.8]
moment= [-0.3]
centered moment= [0]
characteristic function= (0.993346653975+0.0996671107938j)
isElliptical= False
isCopula= True
range= [0, 1]
marginal= class=PythonDistribution name=UniformNdPy
quantile= [0.5]
parameter= [0,1]
parameter= [0.4,1]
parameterDesc= [a_0,b_0]
Cloning distribution
dist parameter= [0.4,1]
copy dist parameter= [0.5,1]
pyDist= PythonDistribution -> #2
myDist= class=PythonDistribution name=UniformNdPy description=[X0,X1]
dimension= 2
realization= [0.412967,0.584915]
sample= 0 : [ 0.507654 0.6998 ]
1 : [ 0.880077 0.22552 ]
2 : [ 0.0939358 0.462153 ]
3 : [ 0.21479 0.728932 ]
4 : [ 0.302963 0.203248 ]
pdf= 1.0
cdf= 0.04
roughness= 42.0
mean= [0.5,0.5]
standard deviation= [0.288675,0.288675]
skewness= [0,0]
kurtosis= [1.8,1.8]
moment= [-0.3,-0.3]
centered moment= [0,0]
isElliptical= False
isCopula= True
range= [0, 1]
[0, 1]
marginal= class=PythonDistribution name=UniformNdPy
quantile= [0.5,0.5]
parameter= [0,0,1,1]
parameter= [0.4,0,1,1]
parameterDesc= [a_0,a_1,b_0,b_1]
Cloning distribution
dist parameter= [0.4,0,1,1]
copy dist parameter= [0.5,0,1,1]
JointDistribution(Normal(mu = 0, sigma = 1), Normal(mu = 0, sigma = 1), class=PythonDistribution name=UniformNdPy)
try with another Python distribution
The construction failed on purpose as class=PythonDistribution name=UniformNdPy is not a copula
|
