Predictor variables |
---|
X
1
| ~N(0, 1) |
X
2
| ~M(2) |
X
3
| ~M(4) |
X
4
| ~M(10) |
X
5
| ~M(20) |
- The predictor variables are sampled independently from the following distributions. N(0, 1) stands for the standard normal distribution, M(k) stands for the multinomial distribution with values in {0,..., k - 1} and equal probabilities (discrete uniform distribution on {0,..., k - 1}), B(p) stands for the binomial distribution (Bernoulli distribution) with probability p, thus M(2) equals B(0.5).