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Course Catalog

140.674.01 INTRODUCTION TO STATISTICAL THEORY II

Department: Biostatistics
Term: 4th 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.
Student Evaluation: Student evaluation based on homework and one exam per term.
Learning Objective:

Upon successfully completing this course, students will be able to:

1. Lay out 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).

Location: Baltimore
Class Times:
  • Monday 10:30 - 11:50
  • Wednesday 10:30 - 11:50
Lab Times:
  • Thursday 9:00 - 9:50
Enrollment Minimum: 10
Instructor Consent: No consent required
For consent, contact: cfrangak@jhsph.edu
Prerequisite:

140.671-673
Auditors Allowed: Yes, with instructor consent
Grading Restriction: Letter Grade or Pass/Fail
Catalog Subcommittee Actions: RecommendedNote, CourseOfferRationaleNote, ScheduleTypeId, .10/07/2011;
Special Comments: Grade for 140.673 and 674 given at completion of 140.674.