Johns Hopkins University 3 credits Applied Mathematics & Statistics
Part II of a sequence on data analysis and linear models. Topics include categorical and discrete data analysis, mixed models, semiparametric and nonparametric regression, and generalized additive models. Applications of these methods using the R environment for statistical computing will be emphasized. Prerequisite(s): Students may receive credit for EN.550.414/EN.553.414 or EN.553.614, but not both.
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