STAT0311A-S24
Statistical Inference
Statistical Inference
An introduction to the mathematical methods and applications of statistical inference using both classical methods and modern resampling techniques. Topics will include: permutation tests, parametric and nonparametric problems, estimation, efficiency and the Neyman-Pearsons lemma. Classical tests within the normal theory such as F-test, t-test, and chi-square test will also be considered. Methods of linear least squares are used for the study of analysis of variance and regression. There will be some emphasis on applications to other disciplines. This course is taught using R. (MATH 0310) 3 hrs. lect./disc.
An introduction to the mathematical methods and applications of statistical inference using both classical methods and modern resampling techniques. Topics will include: permutation tests, parametric and nonparametric problems, estimation, efficiency and the Neyman-Pearsons lemma. Classical tests within the normal theory such as F-test, t-test, and chi-square test will also be considered. Methods of linear least squares are used for the study of analysis of variance and regression. There will be some emphasis on applications to other disciplines. This course is taught using R. (MATH 0310) 3 hrs. lect./disc.
- Term:
- Spring 2024
- Location:
- Warner Hall 011(WNS 011)
- Schedule:
- 9:45am-10:35am on Tuesday, Thursday, Friday (Feb 12, 2024 to May 13, 2024)
- Type:
- Lecture
- Course Modality:
- In-Person
- Instructors:
- Becky Tang
- Subject:
- Statistics
- Department:
- Mathematics & Statistics
- Division:
- Natural Sciences
- Requirements Fulfilled:
- DED
- Levels:
- Undergraduate
- Cross-Listed As:
- MATH0311A-S24
- Availability:
- View availability, prerequisites, and other requirements.
- Course Reference Number (CRN):
- 22647
- Subject Code:
- STAT
- Course Number:
- 0311
- Section Identifier:
- A