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Fall 2017
Dec 15, 2017
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MATH 528 - Regression and Time Series Models
Addresses regression topics that include simple and multiple linear regression, polynomial regression, regression diagnostics, and forecasting. Also introduces time series topics that include exponential smoothing, auto-regressive, integrated, moving average (ARIMA) models, and forecasting. Prerequisite: MATH 321 or the equivalent. Not open to students who have credit in MATH 428.
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Mathematical Sciences Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

Prerequisites:
Undergraduate level MATH 321 Minimum Grade of D-

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