STAT 640A - Advanced Statistical Theory I

Units: 2
Probability models and relationships, functions of random variables, law of large numbers, central limit theorem, simulation, model fitting, theory of point estimation and interval estimation, method of moments estimation, maximum likelihood estimation, large sample theory of point estimation, bootstrapping.

Prerequisites: STAT 620
Possible Instructional Methods: On-ground, or Hybrid, or Online-Asynchronous, or Online-Synchronous.
Grading: A-F grading only.
Course Typically Offered: Fall & Spring

Student Learning Outcomes - Upon successful completion of this course students will be able to:

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