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161.306 Advanced Data Analysis (15 credits)
Advanced tools for statistical analysis of complex situations where data may be non-normal and sampling may not be independent, identically distributed. Examples include: logistic and Poisson regression; contingency table analysis; mixed effect models for observational and experimental data; nonlinear regression; multivariate techniques; analysis of complex survey data; time series.
General Prerequisite: At least 45 credits from 200 level.
- Restriction(s): 161.331
There are no offerings currently available for this course
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