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- W2102669737 abstract "When discussing forecasting, most textbooks in management science or operations management explain that the values in a time series are a function of seasonality, trend, and random variation. Many textbooks have pictures depicting different patterns of data. We present a workbook that allows the user to manipulate a dynamic picture of these patterns and, in so doing, allows the user to examine the relationship between error measures and forecasting techniques for these different patterns. We also show a result regarding the relationship between the annual trend and the quarterly trend that surprises most of our students." @default.
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- W2102669737 date "2012-05-01" @default.
- W2102669737 modified "2023-09-27" @default.
- W2102669737 title "Let's Put the Seasonality and Trend in Decomposition" @default.
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- W2102669737 doi "https://doi.org/10.1287/ited.1110.0079" @default.
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