SDS X80D SDS 380D Statistical Methods II 3 Hours
3 Lecture Hours 0 Lab Hours
Continuation of Statistics and Data Sciences 380C (or Statistics and Scientific Computation 380C). Surveys advanced statistical modeling and may include random and mixed effects models, time series analysis, survival analysis, Bayesian methods, and multivariate analysis of variance. Use of statistical software is emphasized. Statistics and Data Sciences 380D and Statistics and Scientific Computation 380D may not both be counted. Three lecture hours a week for one semester.
Pre/Corequisites: Graduate standing, and Statistics and Data Sciences 380C (or Statistics and Scientific Computation 380C) or the equivalent.
Grading: Student Option
Repeatable for credit: No
Academic Level: Master's