140.773.01
Foundations of Statistical Inference
Cancelled
- Location:
- East Baltimore
- Term:
- 3rd term
- Department:
- Biostatistics
- Credits:
- 4 credits
- Academic Year:
- 2022 - 2023
- Instruction Method:
- In-person
- Class Times:
-
- Tu Th, 1:30 - 2:50pm
- Auditors Allowed:
- Yes, with instructor consent
- Grading Restriction:
- Letter Grade or Pass/Fail
- Course Instructor:
-
- Charles Rohde
- Contact:
- Charles Rohde
- Frequency Schedule:
- Every Other Year
- Resources:
- Prerequisite:
- Description:
-
Investigates the foundations of statistics as applied to assessing the evidence provided by an observed set of data. Topics include: law of likelihood, the likelihood principle, evidence and the likelihood paradigm for statistical inference; failure of the Neyman-Pearson and Fisherian theories to evaluate evidence; marginal, conditional, profile and other likelihoods; and applications to common problems of inference.
- Learning Objectives:
-
Upon successfully completing this course, students will be able to:
- Compare and criticize the basic paradigms of statistical inference
- Formulate and contrast concepts of statistical evidence
- Methods of Assessment:
Student evaluation based on presentation/critique of a recent paper on the foundations/philosophy of statistics.
- Instructor Consent:
No consent required