This app explores the Poisson process to see how the distribution of the count at time t, the interarrival times, and the deviation from expectations behave as the intensity rate and observation time changes.

This app explores discrete time Markov Chains and their long run behavior by considering multiple sample problems.

This app explores the Non-Homogeneous Poisson Process through simulation, including investigations of the inter arrival times and the Poisson nature of counts for various intensity rate functions.