Methods for sampling the environment and analysis of environmental data are considered. Techniques are presented for estimation, hypothesis testing, and regression when data are non-normal and/or dependent. Statistical methods based on generalized linear models, linear mixed models, time series analysis, and spatial data analysis are surveyed from an applied perspective.
Offered fall semester every even-numbered year.