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Course Catalog

140.673.01 INTRODUCTION TO STATISTICAL THEORY I

Department:
Biostatistics
Term:
3rd term
Credits:
4 credits
Academic Year:
2013 - 2014
Location:
East Baltimore
Class Times:
  • Tu Th,  3:30 - 4:50pm
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Constantine Frangakis
Course Instructor:

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Prerequisite:

140.671-672

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)
Methods of Assessment:

Student evaluation based on homework and one exam per term.

Multiterm:

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.