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                                       Details for article 16 of 21 found articles
 
 
  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
 
 
Title: 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
Author: Bacci, Livio Agnew
Mello, Luiz Gustavo
Incerti, Taynara
Paulo de Paiva, Anderson
Balestrassi, Pedro Paulo
Appeared in: International journal of production economics
Paging: Volume 212 (2019) nr. C pages 186-211
Year: 2019
Contents:
Publisher: Published by Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 16 of 21 found articles
 
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