MATH 356

3 credits

Honours Probability

Mathematics & Statistics (Sci): Sample space, probability axioms, combinatorial probability. Conditional probability, Bayes' Theorem. Distribution theory with special reference to the Binomial, Poisson, and Normal distributions. Expectations, moments, moment generating functions, uni-variate transformations. Random vectors, independence, correlation, multivariate transformations. Conditional distributions, conditional expectation.Modes of stochastic convergence, laws of large numbers, Central Limit Theorem.

Offered by: Mathematics and Statistics

- Fall
- Prerequisite: MATH 255 or MATH 243
- Restriction: Not open to students who have taken or are taking MATH 323

- Terms
- Fall 2013

- Instructors
- There are no professors associated with this course for the 2013-2014 academic year.