Research Article
Forecasting of Sporadic Demand Patterns with Seasonality and Trend Components: An Empirical Comparison between Holt-Winters and (S)ARIMA Methods
Table 4
Comparison between (S)ARIMA and HW based on MSE/.
| | Series | Group |
MSE/ 5 time periods ahead |
MSE/ 12 time periods ahead | | (S)ARIMA | HW | (S)ARIMA | HW |
| | s1 | 1 | 6.8% | 6.8% | 27.0% | 22.4% | | s2 | 59.3% | 79.6% | 73.0% | 74.2% | | s3 | 33.0% | 41.8% | 469.9% | 111.5% | | s4 | 35.1% | 28.2% | 43.8% | 48.9% | | s5 | 5.1% | 20.2% | 12.9% | 34.5% | | s6 | 2.6% | 5.1% | 22.0% | 7.9% | | s7 | 434.4% | 3.9% | 10361.6% | 10675.5% |
| | s8 | 2 | 268.9% | 424.1% | 801.5% | 953.2% | | s9 | 8.3% | 666.7% | 217.9% | 678.6% | | s10 | 9.9% | 435.9% | 80.8% | 502.4% | | s11 | 60.3% | 463.0% | 172.9% | 1424.8% | | s12 | 529.8% | 286.0% | 439.7% | 1369.8% |
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