Date of this Version
This article presents a framework for the evaluation of quantitative models. The framework is both simple and realistic and could be used profitably by most organizations. It incorporates not only internal accounting data but also the human elements of bias or antipathy toward the models on the part of company employees using them, which might tend to distort an internal assessment and even the capability of the model itself.
Armstrong, J. S., & Shapiro, A. C. (1974). Analyzing Quantitative Models. Retrieved from http://repository.upenn.edu/marketing_papers/96
Date Posted: 15 June 2007
This document has been peer reviewed.