Overview
Description
This course covers advanced statistical methodologies and practical applications of linear models and their extensions emphasizing a broad range of ideas and techniques.
Requirements
Prerequisites
STAT 467STAT 667STAT 726STAT 735
Original catalog text
Prerequisites
Prerequisite(s): STAT 467 or STAT 667 or STAT 726; STAT 735.
Units
Lecture3
Catalog Details
Offering
Offered: Every Spring
Terms
spring
Attributes
Standard
Learning Outcomes
- describe the theoretical concepts underlying each generalized linear model framework.
- recognize different model assumptions and identify the valid model for the given problem.
- apply appropriate models in data analysis, evaluate model fit and interpret the results.
- evaluate the feasibility of more advanced methods and apply them in practice.