Exact(2)
The establishment of forecasting benchmarks is meaningful, especially for the one-step ahead attempts, as the latter constitute the most simple ones and their accuracy can be quantified using a single metric, i.e. the absolute error.
Our findings are in stark contrast to those in the previous literature, as we find that established univariate forecasting benchmarks, such as exponential smoothing, consistently perform better those that include online information.
Similar(58)
Section Comparison of forecasting results compares the performance of the models for the forecasting benchmark dataset.
Section Results and discussion reports the empirical results of the hybrid series and parallel models for a forecasting benchmark dataset.
The MHW method performance is compared against that of the also operationally simple SA3 forecasting benchmark, which is recommended in Abeku et al. [32].
The MHW performance is equal or superior to that of the SA3 forecasting benchmark in 87.5% of the 24 TS forecasts generated here, as implied by equal or smaller MAPE values (Table 3).
Finally, Table 3 also compares the performance of the MHW method against that of a seasonal adjustment (SA3) forecasting benchmark, which was recommended by Abeku et al. [32], and which has been briefly described in the Methods section.
Many analysts had expected the central bank to leave rates unchanged, though some had forecast a benchmark rate cut of 50 basis points.
The rule-based schema was developed on 74 series and validated on 52 holdback series using well-accepted forecasting methods as benchmarks.
Moreover, the attractiveness of the proposed method can be demonstrated by the comparison with eight benchmark forecasting methods.
The effectiveness of the proposed method is illustrated through simulation of benchmark forecasting and identification problems and comparisons with the existing methods.
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