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MAPE & AIC Values of Adequate Models

MAPE & AIC Values of Adequate Models

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Figure 1: Time Series Plot and ACF of Revenue of all Type of Vehicles
Figure 2: ACF and PACF of First Trend Differenced Series
Modified Box-Pierce (Ljung-Box) Chi- Square Statistic
Correlation Matrix for the Models
MAPE & AIC Values of Adequate Models
Revenue Forecasting in Sabaragamuwa Province at the Renewal of Motor Vehicle Revenue License
Conference Paper
Full-text available
  • Dec 2020
Revenue forecasting is difficult but essential for companies which creates high-quality revenue budgets, especially in an uncertain economic environment with changing government policies. Under these conditions, the subjective judgment of decision makers is a crucial factor in making accurate forecasts. In this study, Seasonal Autoregressive Integr...
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Contexts in source publication

Context 1
... of the existence of parameter redundancy model 1 was removed. SARIMA (2,1,1)(1,0,1 SARIMA (0,1,1)(1,0,0 Table 4. ...
Context 2
... to the results of Table 4, it is clear that MAPE and AIC of model 5 are smaller than that of the other models. Therefore Model 5 -SARIMA(2,1,0)(0,0,1) 12 was selected as the best model to forecast the monthly revenue of motor vehicle revenue licence fees. ...

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