A New Empirical Model for Short-Term Forecasting of the Broadband Penetration: A Short Research in Greece

Table 2

Results of the forecasting process for the models (forecasting period: one year).

Forecasting performance (forecasting period : one year)
Model	Mean Absolute Error (MAE)	Mean Absolute Percentage Error (MAPE)	Mean Squared Error (MSE)	Root Mean Squared Error (RMSE)
Forecasting model	0.001812971	0.010961673	4.2351𝐸−06	0.002057930
Gompertz	0.002374115	0.014203962	7.3493𝐸−06	0.002710962
Richards	0.002589747	0.015089135	8.2087𝐸−06	0.002865074
Gompertz with constant	0.002907623	0.016882766	9.8438𝐸−06	0.003137484
Bass	0.003035126	0.017946140	1.1443𝐸−05	0.003382720
Logistic with constant	0.003061642	0.018094383	1.1615𝐸−05	0.003408084
Box Cox	0.003216461	0.018936105	1.2360𝐸−05	0.003515620
FLOG	0.003306149	0.019436138	1.2983𝐸−05	0.003603245
Logistic	0.009994163	0.056669925	1.3492𝐸−04	0.011615528