Skip Navigation

Course Catalog


Department: Biostatistics
Term: 2nd term
Credits: 4 credits
Academic Year: 2012 - 2013
Course Instructor:

Examines statistics as a discipline along the path towards making decisions. First examines the justification of statistics from axioms on informed preferences and its close connection to Bayesian theory, and then examines the role of standardizing intermediate steps, through various additional restrictions on estimation, and studies the properties of the resulting methods.

Learning Objective(s):
Upon successfully completing this course, students will be able to:
Discuss properties of maximum likelihood estimation
Discuss properties of estimation under fewer assumptions
Discuss further advantages and limitations of using axiomatic inference

Methods of Assessment: Student evaluation based on one mid-term exam and one project per term.
Location: East Baltimore
Class Times:
  • Tuesday 1:30 - 2:50
  • Thursday 1:30 - 2:50
Enrollment Minimum: 2
Instructor Consent: No consent required


Grading Restriction: Letter Grade or Pass/Fail
Special Comments: Grade for 140.771 and 772 given at completion of 140.772