Mathematical Problems in Engineering / 2010 / Article / Tab 1

Research Article

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

Table 1

Data collection and preliminary analysis.

SeriesGroupCV31ADI31CV24ADI24ddpSeasonalityTrend

s111.801.351.791.26rejectx
s21.541.111.451.09Geometric (6.34e-002)x
s31.301.191.351.09Neg. Binomial (1, 4.75e-002)x
s41.091.481.011.33Neg. Binomial (3, 7.76e-002)x
s51.221.191.211.14Neg. Binomial (2, 4.11e-002)x
s61.2511.301rejectx
s72.401.292.361.33rejectx

s821.111.411.331.50rejectxx
s92.381.351.771.14Neg. Binomial (2, 4.88e-002)xx
s101.631.411.691.41Neg. Binomial (1, 9.88e-002)xx
s111.2811.421Neg. Binomial (1, 4.7e-002)xx
s121.3011.341Neg. Binomial (2, 1.6e-002)xx

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