Course ID
021137
Course Description
Methods for analysis of time series data. Time domain techniques. ARIMA models. Estimation of process mean and autocovariance. Model fitting. Forecasting methods. Missing data. Students will be expected to utilize standard statistical software packages for computational purposes.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Attributes
CE - CL (Cross Listed), GIDP - GC (Global Change), GIDP - STATD (Statistics and Data Science)
Course Requisites
Cross Listed Courses
May be convened with
Component
Lecture
Optional Component
No