Abstract:We pay homage to George B. Dantzig by describing a less well-known part of his legacy -his early and dedicated championship of the importance of systems optimization in solving complex real-world problems.
“…This debate should always be based on robustness criteria, which implies sensitivity to changes in specific factors to be tested and insensitive to changes in outliers in practice. The work developed is in the context of uncertainty, and this work has been a contribution to a real forecasting problem [33].…”
In this research, a new uncertainty method has been developed and applied to forecasting the hotel accommodation market. The simulation and training of Time Series data are from January 2001 to December 2018 in the Spanish case. The Log-log BeTSUF method estimated by GMM-HAC-Newey-West is considered as a contribution for measuring uncertainty vs. other prognostic models in the literature. The results of our model present better indicators of the RMSE and Ratio Theil’s for the predictive evaluation period of twelve months. Furthermore, the straightforward interpretation of the model and the high descriptive capacity of the model allow economic agents to make efficient decisions.
“…This debate should always be based on robustness criteria, which implies sensitivity to changes in specific factors to be tested and insensitive to changes in outliers in practice. The work developed is in the context of uncertainty, and this work has been a contribution to a real forecasting problem [33].…”
In this research, a new uncertainty method has been developed and applied to forecasting the hotel accommodation market. The simulation and training of Time Series data are from January 2001 to December 2018 in the Spanish case. The Log-log BeTSUF method estimated by GMM-HAC-Newey-West is considered as a contribution for measuring uncertainty vs. other prognostic models in the literature. The results of our model present better indicators of the RMSE and Ratio Theil’s for the predictive evaluation period of twelve months. Furthermore, the straightforward interpretation of the model and the high descriptive capacity of the model allow economic agents to make efficient decisions.
“…Linear programming. Linear programming is a constrained optimisation technique [89,90,91]. It was used in this work to identify possible EBRs fullling the constraints dened by the chosen reaction class.…”
Section: Identication Of An Individual Error-cancelling Balanced Reacmentioning
confidence: 99%
“…Problem. The problem of identifying a possible EBR can be dened by applying the general linear objective function [89,90,91]. In this work it is dened by,…”
Section: Identication Of An Individual Error-cancelling Balanced Reacmentioning
This paper presents an automated framework that uses overlapping subsets of reference data to systematically derive an informed estimate of the standard enthalpy of formation of chemical species and assess the consistency of the reference data. The theory of error-cancelling balanced reactions (EBRs) is used to calculate estimates of the standard enthalpy of formation. Individual EBRs are
“…The military refer as a program to their various plans or proposed schedules of training, logistical supply and deployment of combat units. George B. Dantzig, who was a mathematical advisor to the US Air Force controller in the Pentagon and the inventor of the Simplex method in 1947, was the first using the linear programming term (Gill et al 2008). Later on, at the early 1950s many optimization subfields were collected under the term mathematical programming.…”
Section: Integration Of Hierarchical Decision Levelsmentioning
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