MATH 836 (1SY) - Advanced Statistical Methods for Research

Adv Stat Methods for Research

Durham   Engineering&Physical Sciences :: Mathematics&Statistics
Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   16  
CRN: 57452
An introduction to multivariate statistical methods, including principal components, discriminant analysis, cluster analysis, factor analysis, multidimensional scaling, and MANOVA. Additional topics include generalized linear models, general additive models, depending on the interests of class participants. This course completes a solid grounding in modern applications of statistics used in most research applications. The use of statistical software, such as JMP, S PLUS, or R, is fully integrated into the course.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Prerequisite(s): (MATH 835 with minimum grade of B- or MATH 839 with minimum grade of B- )
Instructors: Joseph Poythress

Times & Locations

Start Date End Date Days Time Location
2/1/2021 5/11/2021 MWF 8:10am - 9:30am ONLINE