Time Series and Logistic Regression - NMU Bulletin

DATA 475 Time Series and Logistic Regression 4 cr.  (4-0-0)

• Offered: On demand
• Prerequisites: MA 472 or instructor permission.
• Bulletin Year: 2023 - 2024 Undergraduate Bulletin | View the current NMU Catalog.

Introduction to techniques used in time-series analyses and logistic regression. Topics include seasonality, lag operators, construction of stationary time series models (moving average and autoregression), the construction of  nonlinear stochastic models (ARIMA), and binary response variables.