Examines point and confidence interval estimation. Principles of maximum likelihood, sufficiency, and completeness: tests of simple and composite hypotheses, linear models, and multiple regression analysis if time permits. Analyzes various distribution-free methods. Department enforced prerequisite: one semester calculus-based probability course, such as MATH 4510 or APPM 3570. Recommended prerequisite: previous coursework equivalent to APPM 3570 or STAT 3100 or MATH 4510; minimum grade of C- for all. Same as STAT 4520 and MATH 4520 and MATH 5520.
instructor(s)
Bronstein, Albert
Primary Instructor
- Spring 2020 / Spring 2022 / Spring 2024
Corcoran, Jem
Primary Instructor
- Fall 2019 / Fall 2021
Engländer, János
Primary Instructor
- Spring 2020 / Spring 2022 / Spring 2023
Law, Judith
Primary Instructor
- Fall 2021 / Fall 2022 / Fall 2023 / Fall 2024
