140.773.01 FOUNDATIONS OF STATISTICAL INFERENCE
Department:
Biostatistics
Term: 2nd term
Credits: (4 credits)
Contact: Charles Rohde
Academic Year: 2012 - 2013
Course Instructor:
Description:
Investigates the foundations of statistics as applied to assessing the evidence provided by an observed set of data. Topics include: law of likelihood, the likelihood principle, evidence and the likelihood paradigm for statistical inference; failure of the Neyman-Pearson and Fisherian theories to evaluate evidence; marginal, conditional, profile and other likelihoods; and applications to common problems of inference.
Student Evaluation: Student evaluation based on problem sets and class presentation of solutions to the problem sets.
Learning Objective:
Upon successful completion of this course, students will be able: 1) compare and criticize the basic paradigms of statistical inference; 2) formulate and contrast concepts of statistical evidence.
Location: Baltimore
Class Times:
- Monday 8:30 - 9:50
- Wednesday 8:30 - 9:50
Enrollment Minimum: 10
Instructor Consent:
For consent, contact: crohde@jhsph.edu
Prerequisite:
140.772
Auditors Allowed: Yes, with instructor consent
Grading Restriction: Letter Grade or Pass/Fail
Catalog Subcommittee Actions: TermId, RecommendedNote, CourseOfferRationaleNote, ScheduleTypeId, .07/19/2012; CourseTitle, RecommendedNote, TargetAud, CourseLocation, CourseFormat, IRBSurvey, AuditorsAllowedId, CourseOfferRationaleNote, StartingOfferYear, RepeatableRetakable, ScheduleTypeId, LabScheduleTypeId, LabTime, .10/11/2010;
Frequency Schedule: Every Other Year
Next Offered: 2014-2015