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140.673.01 INTRODUCTION TO STATISTICAL THEORY I

Department: Biostatistics
Term: 3rd term
Credits: 4 credits
Academic Year: 2012 - 2013
Course Instructor:
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 Objective(s):
Upon successfully completing this course, students will be able to:
discuss classical theory/methods for drawing statistical inference
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.
Location: East Baltimore
Class Times:
  • Tuesday 3:30 - 4:50
  • Thursday 3:30 - 4:50
Final grade applies to all terms
Enrollment Minimum: 10
Instructor Consent: No consent required
Prerequisite:

140.671-672

Grading Restriction: Letter Grade or Pass/Fail
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.