GAQF 5406 - Univariate and Multivariate Models in Fisheries Science

This course will cover models that are developed to deal with univariate and multivariate data analysis. The statistical modeling techniques taught in this class include multiple regressions, model selection methods, logistic regressions, multivariate ANOVAs, ordinations, and classification analyses. Theories and application to real-world examples will be used to understand the statistical methods. The laboratory session will focus on the application of the models for specific uses. Offered spring semester of even years.

Prerequisites & Notes
GAQF 5405 Statistics in Research

Credits: 4