Mathematical Problems in Engineering / 2010 / Article / Tab 4

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/A.

SeriesGroup MSE/A 5 time periods ahead MSE/A 12 time periods ahead
(S)ARIMAHW(S)ARIMAHW

s116.8%6.8%27.0%22.4%
s259.3%79.6%73.0%74.2%
s333.0%41.8%469.9%111.5%
s435.1%28.2%43.8%48.9%
s55.1%20.2%12.9%34.5%
s62.6%5.1%22.0%7.9%
s7434.4%3.9%10361.6%10675.5%

s82268.9%424.1%801.5%953.2%
s98.3%666.7%217.9%678.6%
s109.9%435.9%80.8%502.4%
s1160.3%463.0%172.9%1424.8%
s12529.8%286.0%439.7%1369.8%

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.