STAT 640 - Advanced Statistical Theory

Units: 4
Theory of point and interval estimation and hypothesis testing from the Neyman-Pearson point of view. May include: decision theory, non-parametric inference, multivariate analysis, Bayesian methods, computer intensive methods, and statistical bootstrapping and simulation.

Prerequisites: STAT 620.
Possible Instructional Methods: On-ground, or Hybrid or Online-Asynchronous.
Grading: A-F grading only.
Student Learning Outcomes - Upon successful completion of this course students will be able to:

Derive and understand the theory of point and interval estimation and hypothesis testing.
Formulate and model practical problems for solutions using these statistical methodologies.
Produce relevant computer output using standard statistical software and interpret results appropriately.
Communicate statistical concepts and analytical results clearly and appropriately to others.
Understand theory, concepts and terminology at a level that supports lifelong learning of related methodologies.