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This 1 page Class Notes was uploaded by Nikita Hendricks on Friday October 14, 2016. The Class Notes belongs to 2305 at Baylor University taught by Prof. Turner in Fall 2016. Since its upload, it has received 5 views. For similar materials see QBA in Business at Baylor University.
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Date Created: 10/14/16
QBA Time series any variable that is measured over time in sequential order Four components of a time series Long term trend Cyclical effect Seasonal effect Random variation A trend long term relatively smooth pattern or direction, that persists usually for more than one year Cycle a wavelike pattern describing a long term behavior (for more than one year) Seasonal component exhibits a short term (less than one year) calendar repetitive behavior Random variation comprises the irregular unpredicted changes in the time series. It tends to hide the other (more predictable) components Time series models Additive model and the multiplicative model Ways to remove the random variation moving average exponential smoothing Time series has trend, seasonal and random components
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