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2020 January Semester
Apr 25, 2024
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CRN 10581
Mathematical Statistics - STAT 372 - A1
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.

Levels:  Undergraduate

Campus:    Prince George
Schedule Type:  Lecture
Instructional Method: On campus, face to face
Credits:   3.000


Scheduled Meeting Times
Type Time Days Where Date Range Schedule Type Instructors
Class 4:00 pm - 6:50 pm W Teaching Lab 8-161 Jan 06, 2020 - Apr 09, 2020 Lecture Pranesh Kumar (P)E-mail
Class 9:00 am - 12:00 pm T TBA Apr 21, 2020 - Apr 21, 2020 Final Exam TBA



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Release: 8.7.2.6