STAT205B: Intermediate Classical Inference

Statistical inference from a frequentist point of view. Properties of random samples; convergence concepts applied to point estimators; principles of statistical inference; obtaining and evaluating point estimators with particular attention to maximum likelihood estimates and their properties; obtaining and evaluating interval estimators; and hypothesis testing methods and their properties. (Formerly Statistical Inference.) Prerequisite(s): STAT 203. Enrollment is restricted to graduate students. Undergraduates may enroll by permission (STAT 131 and 132 have to be verified by the instructor directly with the student).

5 credits

Year	Fall	Winter	Spring	Summer
2024-25		Section 01 Bruno Sansó (bsanso)
2023-24		Section 01 Bruno Sansó (bsanso)
2022-23		Section 01 Justin Hyun (shyun2)
2021-22		Section 01 Paul Parker (pparker1)
2020-21		Section 01 Staff

Comments

Formerly AMS 0205B

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