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Course Catalog

140.774.01 FOUNDATIONS OF STATISTICS II

Department: Biostatistics
Term: 4th term
Credits: 4 credits
Academic Year: 2013 - 2014
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.

Learning Objective(s):

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.


Methods of Assessment: Student evaluation based on problem sets and class presentation of solutions to the problem sets.
Location: East Baltimore
Enrollment Minimum: 10
Instructor Consent: No consent required
Prerequisite:

140.773

Grading Restriction: Letter Grade or Pass/Fail
Frequency Schedule: Every Other Year
Next Offered: 2014-2015