2019
DOI: 10.1016/j.ijpe.2019.03.001
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Optimization of combined time series methods to forecast the demand for coffee in Brazil: A new approach using Normal Boundary Intersection coupled with mixture designs of experiments and rotated factor scores

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Cited by 14 publications
(6 citation statements)
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“…To obtain objective and subjective conclusions, an experimental evaluation must comprise two fundamental and interrelated components: (1) an experimental design, which refers to the planning process of the experiment so that the data can be collected, in a viable manner, for statistical analysis; and (2) an efficient statistical analysis of the data [19].…”
Section: Methodsmentioning
confidence: 99%
“…To obtain objective and subjective conclusions, an experimental evaluation must comprise two fundamental and interrelated components: (1) an experimental design, which refers to the planning process of the experiment so that the data can be collected, in a viable manner, for statistical analysis; and (2) an efficient statistical analysis of the data [19].…”
Section: Methodsmentioning
confidence: 99%
“…A mixture design is generated considering n factors. A simplex lattice design is recommended, since this design was successfully used in a time series optimization forecast problem in (Bacci et al, 2019). Nevertheless, it is convenient to define lower and upper bounds to the values of the mixture design as will be explained later.…”
Section: Generate a Mixture Designmentioning
confidence: 99%
“…Afterwards, by entering the accident data into the prepared program, the Program Risk Factor (PRF) calculated by the program was found for each accident. PRF was compared with EMRF by using the value of RMSE and MAPE [22]. MAPE is 18,9, RMSE is 10,3.…”
Section: Simulation Of Meteorological Risk Assessment Modelmentioning
confidence: 99%