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, univariate transformations. Random vectors, independence, correlation, multivariate transformations. Conditional distributions, conditional expectation.Modes of stochastic convergence, laws of large numbers, Central Limit Theorem.
Fall 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 Lecture Instructional Method 3.000 Credits View Catalog Entry

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