MATH 453 - Mathematical Statistics

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Description

Hours: Three hours lecture per week Prerequisite: MATH 201 or MATH 202 or PSY 202 or MATH 300 or MATH 352 Description: Sampling distributions, estimation, bias, confidence intervals, efficiency, consistency, sufficiency, Cramer-Rao bound, maximum likelihood, hypothesis testing, Neyman-Pearson Lemma, linear models, regression, experiment design, ANOVA, analysis of categorical data, nonparametric methods, and Bayesian estimation. Application of statistical theory in the laboratory using modern computer software.

Units: 3.00
Grading: Letter Grade

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Session Section Class # Type Days Time Location Instructor Course Details [Key]
1 01 2562 LEC TTH  9:00 AM  -  10:15 AM  Online Alona Kryshchenko Course Open Class Details Synchronous Online Class

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