Corrections to Rule-based Forecasting: Findings from a replication

Authors

Monica Adya, Marquette UniversityFollow

Document Type

Article

Language

eng

Format of Original

3 p.

Publication Date

1-2000

Publisher

Elsevier

Source Publication

International Journal of Forecasting

Source ISSN

0169-2070

Abstract

Rule-Based Forecasting (RBF) is an expert system that combines forecasts from simple extrapolation methods based on features of time series. In this study, we provide corrections to ten of the 99 rules contained in RBF. These corrections were identified during a replication of RBF. Empirical comparisons indicate that the corrections did not lead to a noticeable improvement in accuracy when tested against some of the original data. However, in light of the fact that several studies are extending the work on RBF, it is important to report on these corrections to RBF.

Comments

Accepted version. International Journal of Forecasting, Vol. 16, No. 1 (January-March 2000): 125-127. DOI. © 2000 Elsevier. Used with permission.

Monica Adya was affiliated with University of Maryland, Baltimore County at the time of publication.

Recommended Citation

Adya, Monica, "Corrections to Rule-based Forecasting: Findings from a replication" (2000). Management Faculty Research and Publications. 118.
https://epublications.marquette.edu/mgmt_fac/118