*****COURSES ARE SUBJECT TO CHANGE*****
Graduate introduction to topics in probability and mathematical statistics. Probabilities, random variables, common families of distributions; expectation and higher moments; multivariate distributions, marginals and conditionals; point estimation, methods and properties; interval estimation, methods and properties; and hypothesis testing, methods and properties. (Formerly course 205.) Prerequisite(s): Strongly recommended: course 131. Previous experience with univariate and multivariate calculus, and experience with elementary probability also recommended. Enrollment restricted to graduate students. A. Rodriguez, B. Sanso
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