Application of weighted sums of order <i>p</i> to distance estimation
| dc.contributor.author | Üster, Halit | en_US |
| dc.contributor.author | Love, Robert F. | en_US |
| dc.contributor.author | McMaster University, Michael G. DeGroote School of Business | en_US |
| dc.date.accessioned | 2014-06-17T20:34:45Z | |
| dc.date.available | 2014-06-17T20:34:45Z | |
| dc.date.created | 2013-12-23 | en_US |
| dc.date.issued | 1998-04 | en_US |
| dc.description | <p>29 p. : ; Includes bibliographical references (p. 27-29). ; "April, 1998".</p> | en_US |
| dc.description.abstract | <p>Distance functions are employed to estimate actual distances in a transportation network. The ℓ<em><sub>bp</sub></em>-norm, which is a weighted sum of order <em>p</em>, is a generalization of the weighted ℓ<em><sub>p</sub></em>-norm, a well-known distance predicting function. We derive some mathematical properties of the new norm and of a goodness-of-fit criterion. These properties are used to develop computational procedures to determine the best-fitting parameter values of the ℓ<em><sub>bp</sub></em>-norm for a transportation network. We apply the new norm to seventeen geographic regions and find significant improvements in the accuracy of distance estimations over the weighted ℓ<em><sub>p</sub></em>-norm.</p> | en_US |
| dc.identifier.other | dsb/35 | en_US |
| dc.identifier.other | 1034 | en_US |
| dc.identifier.other | 4944055 | en_US |
| dc.identifier.uri | http://hdl.handle.net/11375/5575 | |
| dc.relation.ispartofseries | Research and working paper series (Michael G. DeGroote School of Business) | en_US |
| dc.relation.ispartofseries | no. 427 | en_US |
| dc.subject | Business | en_US |
| dc.subject | Business | en_US |
| dc.subject.lcc | Distances > Measurement > Mathematical models Business logistics | en_US |
| dc.title | Application of weighted sums of order <i>p</i> to distance estimation | en_US |
| dc.type | article | en_US |
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