Question
1. Double exponential model improves the weakness of single exponential smoothing by adding ________________________ component. 1. Trend 2. Seasonality 3. Cyclicality 4. Randomness 2. Identifying
1. Double exponential model improves the weakness of single exponential smoothing by adding ________________________ component.
1. | Trend | |
2. | Seasonality | |
3. | Cyclicality | |
4. | Randomness |
2. Identifying a trend by regression of the raw data (without deseasonalization) could be misleading since the regression line can be ____________.
1. | exaggerate the reality | |
2. | biased, being influenced by the starting and ending points of data | |
3. | dispersed following the Brownian motion | |
4. | a reflection of bounded rationality |
3. A simple moving average is a special case of the counterpart weighted moving average in which the weights are ____________.
1. | random | |
2. | equal | |
3. | chosen arbitrarily | |
4. | spread |
4. Which of the following is NOT relevant with Revenue Management environment
1. | Market segmentation by price and dynamic pricing | |
2. | Perishable services such as hotels and airlines | |
3. | Perishable services such as hotels and airlines | |
4. | Huge variable cost and trivial fixed cost |
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