AMS132: Classical and Bayesian Inference

*****COURSES ARE SUBJECT TO CHANGE*****

Introduction to statistical inference at a calculus-based level: maximum likelihood estimation, sufficient statistics, distributions of estimators, confidence intervals, hypothesis testing, and Bayesian inference. Students cannot receive credit for this course and course 206. Prerequisite(s): course 131 or Computer Engineering 107. (General Education Code(s): SR - Statistical Reasoning) A. Kottas, A. Rodriguez

5 Credits

YearFallWinterSpringSummer
2016-17
2015-16
2014-15
2013-14
2012-13
2011-12
2010-11
2009-10
2008-09
2007-08

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