Generalization and Communication Issues in the Use of Error Measures: A Reply

Loading...
Thumbnail Image
Penn collection
Marketing Papers
Degree type
Discipline
Subject
Forecasting
Marketing
Business
Marketing
Funder
Grant number
License
Copyright date
Distributor
Related resources
Author
Collopy, Fred
Contributor
Abstract

Generalization and communication issues in the use o f error measures: A reply, Fred Collopy, The Weatherhead School, Case-Western Reserve University, Cleveland, Ohio 44118, USA and J. Scott Armstrong, The Wharton School, University of Pennsylvania, Philadelphia, PA 19104, USA. We agree with most of what the commentators say about Armstrong and Collopy (1992), hereafter referred to as “AC,” and Fildes (1992), hereafter referred to as “F.” Here, we address three issues where we do not agree entirely: (1) Can the results from the M-competition be generalized? (2) Is Theil's U2 easy to communicate? (3) Would a richer set of measures lead to improvements in the selection and development of forecasting methods? Our own answers to these questions are “yes,” “no,” and “probably not,” respectively.

Advisor
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Publication date
1992
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
Recommended citation
Collection