DATA
475
Time Series and Logistic Regression
4 cr.
(4-0-0)
- Offered: On demand
- Prerequisites: MA 472 or instructor permission.
- Bulletin Year: 2022 - 2023 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.