Applied Time Series Analysis in Fisheries and Environmental Sciences

5 credits

Overview of theory and practical aspects of fitting time series models to fisheries and environmental data. Topics include autocorrelation and crosscorrelation, autoregressive and moving average models, state-space models, and estimating model parameters. Focuses on conceptualizing analyses, implementing analyses, and making inference from results. Recommended: background in R programming; FISH 552; FISH 553; and Q SCI 482. Offered: Sp, odd years.