Skip to main content

140.674.01
Introduction to Statistical Theory II

Location
East Baltimore
Term
4th Term
Department
Biostatistics
Credit(s)
4
Academic Year
2013 - 2014
Instruction Method
TBD
Class Time(s)
M, W, 10:30 - 11:50am
Lab Times
Thursday, 9:00 - 9:50am (01)
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Prerequisite

140.671-673

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. Describe foundations and to discuss classical theory/methods for drawing statistical inference
  2. Describe the statistical reasoning and theoretical justification behind two main streams in inference: hypothesis testing and estimation (point and interval)
Special Comments

Grade for 140.673 and 674 given at completion of 140.674.