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140.773.01 FOUNDATIONS OF STATISTICAL INFERENCE

Department:
Biostatistics
Term:
2nd term
Credits:
4 credits
Academic Year:
2012 - 2013
Location:
East Baltimore
Class Times:
  • M W,  8:30 - 9:50am
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Charles Rohde
Course Instructor:
Frequency Schedule:
Every Other Year
Next Offered:
2016 - 2017

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Prerequisite:

140.772

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 Objectives:

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

  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.

Instructor Consent:

No consent required