A note of minimizing absolute percentage error in combined forecasts

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Detail(s)

Original languageEnglish
Pages (from-to)1141-1147
Journal / PublicationComputers and Operations Research
Volume28
Issue number11
Publication statusPublished - Sept 2001

Link(s)

DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-0035452438&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(e7d65600-8f0c-44f1-b6b6-57ecff5bc179).html

Abstract

In this note, two new approaches of combined forecasts are proposed. One approach minimizes mean absolute percentage error while the other approach minimizes the maximum absolute percentage error. A goal programming model is used to obtain the weights to combine different forecasts to minimize the mean absolute percentage error. This formulation can be solved readily by any linear programming computer code. The other approach, minimizing the maximum absolute percentage error, can also be formulated as a goal programming model.

Research Area(s)

  • Combined forecasts, Goal programming

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Publication fingerprints text

100
Minimizes Mathematics
100
Programming Model Computer Science
100
Goal Programming Computer Science
50
Linear Programming Computer Science
33
Computer Code Mathematics
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Citation Format(s)

[ RIS ] [ BibTeX ]
A note of minimizing absolute percentage error in combined forecasts. / Lam, K. F.; Mui, H. W.; Yuen, H. K.
In: Computers and Operations Research, Vol. 28, No. 11, 09.2001, p. 1141-1147.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review