1 .. index:: single: SampleAsIndependantRandomVariables
3 SampleAsIndependantRandomVariables
4 *List of triplets [Name, Parameters, Number]*. This key describes the
5 calculations points as an hyper-cube, for which the points on each axis come
6 from a independent random sampling of the axis variable, under the
7 specification of the distribution, its parameters and the number of points in
8 the sample, as a list ``['distribution', [parameters], number]`` for each
9 axis. The possible distributions are 'normal' of parameters (mean,std),
10 'lognormal' of parameters (mean,sigma), 'uniform' of parameters (low,high),
11 or 'weibull' of parameter (shape). That is then a list of the same size than
12 the one of the state. By nature, the points are included in the unbounded or
13 bounded domain, depending on the characteristics of the distributions chosen
17 ``{"SampleAsIndependantRandomVariables":[['normal',[0.,1.],3], ['uniform',[-2,2],4]]}`` for a state space of dimension 2.