| Credit Value: 1.5 Credits
Schedule: Not offered 2026/7
Prerequisites, Restrictions, and Notes: In general, we do not recommend this class for first-year M.Sc. students in the OCF program. STAT 547M and FISH 506H are cross-listed. STAT students are expected to enroll in STAT 547N and OCF students are expected to enroll in FISH 506H. Students from other graduate programs can contact the instructor if interested, but priority will be given to students in STAT and OCF.
Please contact the course instructor with questions or concerns regarding enrollment.
Description: Data in ecology and marine sciences are frequently associated with large challenges. Controlled experiments are often difficult and observational studies are associated with missing data and measurement error. This class will introduce some of the challenges of using statistics to answer questions in ecology and marine sciences, and the statistical tools developed to handle them.
Class content will include: missing data, multiple imputation, censored and truncated data, GLMs, overdispersion, hidden Markov models, and state-space models.
Course Instructor: Dr. Marie Auger-Méthé |