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Data Analysis, Inference, and Estimation

Data Analysis, Inference, and Estimation

This course introduces students to methods for the statistical description of data and their uncertainties, and the inference and estimation of indirect information. Emphasis is placed on conceptual understanding and practical application. Topics include error propagation, cluster analysis, Markov Chain Monte Carlo, least squares regression, robust regression, and model selection.

School(s)/College(s)
Literature, Science, & Arts » Earth and Environmental Sciences
Course Number(s) UM Course ID Academic Level Credits Sustainability Category*
EARTH 468 018194 3.0 Sustainability-Inclusive

Academic Terms

YearSession(s)
2023Fall
2022Fall