140.773.01
Foundations of Statistical Inference
Location
East Baltimore
Term
2nd Term
Department
Biostatistics
Credit(s)
4
Academic Year
2012 - 2013
Instruction Method
TBD
M, W, 8:30 - 9:50am
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Charles Rohde
Contact Name
Frequency Schedule
Every Other Year
Resources
Prerequisite
140.772
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