From what I understand, the standard generator is for the Normal Distribution. I have to generate random numbers according to the Normal, Uniform and Poisson Distributions, but I can't seem to find a class for the last 2.
I have to generate them in the range of 0 - 999999.
As David has pointed out, the supplied pseudo-random number generator uses the Uniform distribution.
For the other two, I would use the Cern Colt library functions:
These library functions easily allow you to find a random number taken from each distribution, rather than giving you a probability density function or cumulative density function and expecting you to derive the number yourself (which seems to be the Apache Commons-Math approach):
RandomEngine engine = new DRand();
Poisson poisson = new Poisson(lambda, engine);
int poissonObs = poisson.nextInt();
Normal normal = new Normal(mean, variance, engine);
double normalObs = normal.nextDouble();
Also, bear in mind that the Poisson distribution P(λ) for large λ can be approximated very well by the normal distribution N(λ, sqrt(λ)).