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Course Catalog

140.674.01 INTRODUCTION TO STATISTICAL THEORY II

Department:
Biostatistics
Term:
4th term
Credits:
4 credits
Academic Year:
2013 - 2014
Location:
East Baltimore
Class Times:
  • M W,  10:30 - 11:50am
Lab Times:
  • Thursday,  9:00 - 9:50am
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Constantine Frangakis
Course Instructor:

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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)
Methods of Assessment:

Student evaluation based on homework and one exam per term.

Instructor Consent:

No consent required

Special Comments:

Grade for 140.673 and 674 given at completion of 140.674.