STAT 475 - Time Series

Credits: 3

This is an introductory course in the theory and applications of time series models. Topics include stationarity, autocorrelation, parameter estimation, model building, diagnostic checking and forecasting for exponential smoothing, ARIMA and ARCH models.

Prerequisite(s): MATH 438

Term(s) Offered: Spring (odd-numbered years)