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| STAT 4200 - Statistical Methods for Forecasting |
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Prerequisite: STAT 4190. Topics include application of regression models in forecasting and exponential smoothing methods to forecast nonseasonal time-series, seasonal series, and globally constant seasonal models; stochastic time series models; and forecast evaluation.
3.000 Credit hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department Course Attributes: College of Basic & Applied, Credit from 4-Year College, Upper-Division Work Prerequisites: for STAT 4200 General Requirements: ( Course or Test: STAT 4190 Minimum Grade of D- May not be taken concurrently. ) |
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