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An Introduction to Mathematical Statistics
MATH 232
Fall 2011 not offered

After a brief but intensive study of the basic notions of estimation, hypothesis testing, regression, and analysis of variance, the remainder of this course will be devoted to the study of stochastic processes. The discrete time processes studied will include independent processes, Markov chains, and random walks; the continuous time processes that are important are Poisson processes and Brownian motion. Emphasis will be placed on understanding the concepts and communicating that understanding to others, rather than on correctness of answers and calculation.

Essential Capabilities: None
Credit: 1 Gen Ed Area Dept: NSM MATH
Course Format: Lecture / DiscussionGrading Mode: Graded
Level: UGRD Prerequisites: MATH231
Fulfills a Major Requirement for: (CADS)(CIS)(COMP)(DATA-MN)(IDEA-MN)(MATH)(NS&B)

Last Updated on MAY-19-2024
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