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Apr 20, 2024
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2019-2020 Undergraduate Catalog [Archived Catalog]
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ST 252 - Mathematical Statistics and Methods
Development of theories of mathematical statistics, including minimum variance unbiased estimation, use of pivot functions, maximum likelihood estimation, and Bayesian estimation; introduction to statistical decision theory; application of methods of statistical inference to areas such as multiple linear regression, design of experiments and analysis of variance, random effects models, and logistic regression.
Credits: 4
Prerequisites/Restrictions: MA-130 Minimum Grade B or (MA-150 or MA-160 or MA-211) or Permission of Instructor.
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