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2020 September Semester
Apr 24, 2024
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STAT 372 - Mathematical Statistics
This course introduces the theory of statistical inference. Topics covered from likelihood theory are maximum likelihood estimation, sufficiency, and the likelihood ratio test. Topics covered from frequentist theory are point estimation, unbiasedness, consistency, efficiency, confidence intervals, and small sample and large sample hypothesis tests. Topics covered from Bayesian theory are risk, point estimation, and credible intervals.
Credits: 3.000

Levels: Undergraduate
Schedule Types: Lecture, Self-Directed, Final Exam

Precluded: MATH-340 MATH-341 MATH-372
Students cannot receive credit for the course being described and the course(s) listed as Precluded
Information

Green prerequisites must be completed before registering in this course

Red prerequisites can be taken concurrently with this course

Magenta co-requisites must be taken at the same time as this course

Prerequisites:
( MATH 371 Minimum Grade of C- or STAT 371 Minimum Grade of C- )

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