|
|
|
Apr 18, 2024
|
|
STAT 667 - Statistical Theory (3 units)
Introduction to classical mathematical statistics. Multivariate distributions; interval and point estimation; sufficiency; unbiasedness, and information inequality; Bayesian estimation; testing hypotheses; power calculations; linear models.
Grading Basis: Graded
Units of Lecture: 3
Offered: Every Fall and Spring
Student Learning Outcomes
Upon completion of this course, students will be able to:
1. compute measures of location, spread, and association, and find probabilities associated with multivariate distributions, both theoretical and empirical.
2. perform essential statistical data analysis (frequentist and Bayes point and interval estimation, hypothesis testing, linear modeling) for a given data set, and critically evaluate the assumptions of used techniques.
3. perform statistical analysis using a professional Statistical package, prepare reports, and present their results to a professional audience.
Click here for course scheduling information. | Check course textbook information
Add to Portfolio (opens a new window)
|
|
|