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Oct 05, 2024
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2022-2023 Undergraduate Catalog [ARCHIVED CATALOG]
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MATH 311: Regression and Time Series Models (1 Unit) Covers two topics in detail: multiple linear regression analysis and time series analysis. Inherent to both topics: parsimonious linear models, parameter estimation, diagnostic checking, and forecasting. Uses the matrix approach for multiple linear regression, and the Box-Jenkins methodology for constructing autoregressive-integrated moving average (ARIMA) models for time series analysis. Employs the statistical package MINITAB for analyzing all real-world data sets. Anderson.
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