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140.773.01
Foundations of Statistical Inference

Cancelled

Location:
Online/Virtual
Term:
3rd term
Department:
Biostatistics
Credits:
4 credits
Academic Year:
2020 - 2021
Instruction Method:
TBD
Class Times:
  • Tu Th,  1:30 - 2:50pm
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
Contact:
Charles Rohde
Frequency Schedule:
Every Other Year
Resources:
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 presentation/critique of a recent paper on the foundations/philosophy of statistics.

Instructor Consent:

No consent required