Measuring the Mississippi
Individual author or multiple authors
Category of Work
Additional Category of Work
Bachelor of Arts
Department or Program
St. Clair, Katie
Identifier (Includes All Files and Enter All Their Files Name)
nested model, random effect, Wild celery, river health, Upper Midwest Environmental Sciences Center, UMESC, Bayesian statistics, prediction, ordinal logistic regression, regression, cumulative log odds, statistical modeling, United States Geological Survey, resource monitoring, rake score, Mississippi River, submersed aquatic vegetation, biomass, statistical simulation
Access restricted to Carleton College faculty or their designees and staff of Institutional Research & Assessment, access controlled by Carleton username and password.
Student Work Completed Date
Text (paper), Presentation
Student author/s retain copyright to this work. Through online submission process, author/s granted Carleton College the non-exclusive rights to preserve this work as part of Carleton's academic history and to use it for teaching purposes and/or institutional research and assessment.