Mathematical Problems in Engineering / 2010 / Article / Tab 2

Research Article

Forecasting of Sporadic Demand Patterns with Seasonality and Trend Components: An Empirical Comparison between Holt-Winters and (S)ARIMA Methods

Table 2

Selected (S)ARIMA models for 5 and 12 time periods ahead.

SeriesGroup5 time periods ahead12 time periods ahead

s11(3,1,1) × (2,0,2)4(2,1,3) × (2,0,2)4
s2(2,1,2) × (3,0,1)4(1,1,3) × (2,0,2)4
s3(3,1,1) × (3,0,2)4(3,1,2) × (2,0,2)4
s4(1,1,2) × (2,0,3)4(1,1,3) × (2,0,2)4
s5(2,1,2) × (2,0,2)4(3,1,2) × (2,0,1)4
s6(1,1,2) × (2,0,2)4(3,1,2) × (2,0,1)4
s7(2,1,2) × (3,0,1)4(1,1,1) × (3,0,1)4

s82(3,1,2) × (2,0,2)4(1,1,1) × (3,0,1)4
s9(2,1,2) × (3,0,1)4(2,1,2) × (2,0,1)4
s10(1,1,2) × (3,0,1)4(2,1,3) × (2,0,1)4
s11(2,1,2) × (3,0,3)4(1,1,1) × (2,0,2)4
s12(2,1,2) × (2,0,1)4(3,1,2) × (2,0,1)4

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