140.673.01
Introduction to Statistical Theory I

Location
East Baltimore
Term
3rd Term
Department
Biostatistics
Credit(s)
4
Academic Year
2013 - 2014
Instruction Method
TBD
Class Time(s)
Tu, Th, 3:30 - 4:50pm
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Constantine Frangakis
Contact Name
Constantine Frangakis
Frequency Schedule
Every Year
Prerequisite

140.671-672

Description
Introduces modern statistical theory, including likelihood functions; minimal sufficiency; exponential families; theory estimation, theory of optimal tests, and confidence intervals; robustness; and decision theory.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. discuss classical theory/methods for drawing statistical inference
  2. Discuss the statistical reasoning and theoretical justification behind two main streams in inference: hypothesis testing and estimation (point and interval)
Multiterm
Introduction to Statistical Theory II - 140.674
Final grade applies to all terms
Instructor Consent
No consent required
Special Comments

LAB TH 9:00- 9:50
Must also register for 140.674; grade for 140.673 and 674 given at completion of 140.674.