The uncertain relative error combination forecasting model is based on the principle of minimizing the sum of squares of relative errors, setting weight ...
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Jul 4, 2023 · The uncertain relative error combination forecasting model is a new forecasting model that combines the traditional relative error linear ...
Compared with the traditional forecasting model, the model can better deal with the forecasting problem of imprecise data. We verify the feasibility of the ...
Jul 7, 2023 · Abstract: The traditional combination forecasting model has good forecasting effect, but it needs precise historical data.
Abstract: The traditional combination forecasting model has good forecasting effect, but it needs precise historical data. In fact, many random events are ...
This paper presents an uncertain time series model to predict the UHWD based on annual series data. The case of Handan, a Chinese city, is then analyzed to ...
Relative Error Linear Combination Forecasting Model Based on Uncertainty Theory. by Hongmei Shi, Lin Wei, Cui Wang, Shuai Wang and Yufu Ning. Symmetry 2023 ...
In statistics, propagation of uncertainty (or propagation of error) is the effect of variables' uncertainties (or errors, more specifically random errors)
We show how this measure incorporates the disagreement amongst forecasters as a component of forecast uncer- tainty, but particular formula used may ...
In this chapter we analyze theoretically the factors that determine the advantages from combining forecasts (for example, the degree of correlation between ...