— Ecological Statistics
Statistical approaches appropriate for discrete counts, small sample sizes, and non-independent observations, applied to ecological data. Principles of probability and likelihood, discrete probability distributions, and generalized linear models, leading to mixed and mixture models.
Prerequisites & course information
Course Description: Statistical approaches appropriate for discrete counts, small sample sizes, and non-independent observations, applied to ecological data. Principles of probability and likelihood, discrete probability distributions, and generalized linear models, leading to mixed and mixture models. Learning Activities: Lecture 3 hour(s), Laboratory 3 hour(s). Grade Mode: Letter. Learning Activities: Lecture 3 hour(s), Laboratory 3 hour(s). Grade Mode: Letter.
Sources
- Course catalogue ↗2026-2027