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.
Student Evaluation: Student evaluation based on homework and one exam per term.
Learning Objective:
140.673 and 140.674 build upon probability concepts introduced in 140. 671-2 to lay out foundations and to discuss classical theory/methods for drawing statistical inference. Emphasis is on statistical reasoning and theoretical justification behind two main streams in inference: hypothesis testing and estimation (point and interval).
Location: Baltimore
Class Times:
- Tuesday 3:30 - 4:50
- Thursday 3:30 - 4:50
Final grade applies to all terms
Enrollment Minimum: 10
Instructor Consent:
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.