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A new approach for regression with unknown but bounded errors

The problem of regression within an application region is studied in this paper. The model errors are regarded as unknown but bounded. A concept of optimal forecasting parameter is introduced. The criterion and algorithm for determining this parameter are proposed. It is shown by a practical application that the forecasting accuracy can be improved by the new approach as compared with an ordinary parameter estimation method.