Probability

Catalog description

Interpretations and axioms of probability, sample spaces, permutations and combinations, probability laws, univariate and bivariate random variables (discrete and continuous), essential distributions (normal, binomial, etc.), Poisson processes, moment-generating functions, and the central limit theorem. Recommended prerequisite knowledge: ability to do double integrals.