|Honours Probability. - 452 - MATH 356 - 001|
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.
Prerequisite(s): MATH 133 or MATH 134, and MATH 222 or permisson of the Department.
Corequisite(s): MATH 242 or MATH 254
Associated Term: Fall 2017
Registration Dates: Apr 04, 2017 to Sep 19, 2017
Lecture Schedule Type
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