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

<table>MSE/<math id="M98" xmlns="http://www.w3.org/1998/Math/MathML"><mrow><mi mathvariant="bold-italic">A</mi></mrow></math> values for each time series: forecasts on 5 and 12 time periods ahead.</table>

Mathematical Problems in Engineering

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Figure 4

Figure 4: Forecasting of Sporadic Demand Patterns with Seasonality and Trend Components: An Empirical Comparison between Holt-Winters and (S)ARIMA Methods 

Figure 4 | Forecasting of Sporadic Demand Patterns with Seasonality and Trend Components: An Empirical Comparison between Holt-Winters and (S)ARIMA Methods 