FISH 506H / STAT 547N

Statistics in Ecology and Marine Sciences

FISH 506H / STAT 547N Credits: 1.5

Data in ecology and marine sciences are frequently associated with large challenges. Controlled experiments are often difficult and observational studies are often 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. Topics covered in this class are: missing data, multiple imputation, censored and truncated data, GLMs, overdispersion, hidden Markov models, and state-space models. This course is a statistics class for graduate students in the Department of Statistics (STAT) and the Ocean and Fisheries Graduate program (OCF). This class is intended for students with good statistics background and some familiarity with R. The class is not recommended for students with little experience analysing data and those with limited R programming skills.

Marie Auger-Méthé
Not offered in 2023/24