ENV 434 - Advanced Data Analysis

Lecture Hours: 3
Lab Hours: 3
Credit Hours: 4

Overview of advanced concepts and methods of analysis specific to ecological data sets using program R. Bayesian and parametric methods, analysis of variance, linear regression, generalized linear modeling, generalized additive modeling, mixed-effect models, multi-model inference, ordination, and time-series analysis.

Prerequisites: ENV 226 and MATH 361

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