Detailed Course Information |
2024 Fall
Jan 15, 2025 |
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| ACSC 418 - Time Series Analysis and Forecasting |
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This course aims to introduce various statistical models for time series and cover the main methods for analysis and forecasting. Topics include: Deterministic time series: Trends and Seasonality; Random walk models; Stationary time series: White noise processes, Autoregressive (AR), Moving Average (MA), Autoregressive Moving Average (ARMA) models; Estimation, Diagnosis and Forecasting with various time series models; computer programming for Time Series Analysis.
***Prerequisite: STAT 354***
*Note: Students may receive credit for only one of ACSC 418 or STAT 418*
0.000 OR 3.000 Credit hours 0.000 OR 3.000 Lecture hours 0.000 OR 1.000 Lab hours Levels: Undergraduate Schedule Types: Lecture, Lab, Independent Study, Examination All Sections for this Course Mathematics & Statistics Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate |
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