ISYE 6644 - Module 8
➢ Empirical - l ("sample" distribution)
➢ Uniform - not much known from the data, except maybe min and max possible values
➢ Triangular - know min, max, "most likely" values
➢ Exponential(λ) - (interarrival times from a Poisson process
➢ Normal - good model for heights, weights, IQs, sample means
➢ Beta - good for specifying bounded data
➢ Bernoulli(p) - (success prob p)
➢ Binomial(n, p) - (# successes in n Bern(p) trials)
➢ Geometric(p) - (# Bern(p) trials until first success)
➢ Poisson(λ) - (counts # arrivals over time)
➢ Empirical - l ("sample" distribution)
➢ Uniform - not much known from the data, except maybe min and max possible values
➢ Triangular - know min, max, "most likely" values
➢ Exponential(λ) - (interarrival times from a Poisson process
➢ Normal - good model for heights, weights, IQs, sample means
➢ Beta - good for specifying bounded data
➢ Bernoulli(p) - (success prob p)
➢ Binomial(n, p) - (# successes in n Bern(p) trials)
➢ Geometric(p) - (# Bern(p) trials until first success)
➢ Poisson(λ) - (counts # arrivals over time)
