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Robert F. Love, Halit Üster, "A statistical comparison of three goodness-of-fit criteria used in modelling distances", Advances in Decision Sciences, vol. 5, Article ID 542637, 17 pages, 2001. https://doi.org/10.1155/S1173912601000177
A statistical comparison of three goodness-of-fit criteria used in modelling distances
Abstract
Distance predicting functions may be used in a variety of applications for estimating travel distances between points. To evaluate the accuracy of a distance predicting function and to determine its parameters, a goodness-of-fit criteria is employed. AD (Absolute Deviations), SD (Squared Deviations) and NAD (Normalized Absolute Deviations) are the three criteria that are mostly employed in practice. In the literature some assumptions have been made about the properties of each criterion. In this paper, we present statistical analyses performed to compare the three criteria from different perspectives. For this purpose, we employ the
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Copyright © 2001 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
