MATH5520 PROBABILITY

Formal structure of a probability model Combinatorail analysis. Discrete and continuous random variables. Law of large numbers. Conditional probability, stochastic independence. Bernoulli, binomial, poisson, uniform, exponential and normal distributions and their applications. Multivariate distributions. Stochastic processes and Markov chains. Applications. Prerequisite(s): Six credits of calculus or permission of instructor. Abeles, Piegari