Describes how the samples are drawn:
1) unit and uniform: the samples are all in the unit hyper cube and are
sampled uniformly
2) probabilistic and uniform: the samples are in the probabilistic space
but sampled uniformly
3) probabilistic and distributed: the samples are in the probabilistic
space and sampled according to their
distribution
Examples:
- MCSampler draws samples in (1)
- rvs() draws samples in (3)
- after applying transformation to samples in (3) they can either be in
(2) if the transformation is linear
(1) if the transformation is the inverse CDF transformation