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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/5575
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dc.contributor.authorÜster, Haliten_US
dc.contributor.authorLove, Robert F.en_US
dc.contributor.authorMcMaster University, Michael G. DeGroote School of Businessen_US
dc.date.accessioned2014-06-17T20:34:45Z-
dc.date.available2014-06-17T20:34:45Z-
dc.date.created2013-12-23en_US
dc.date.issued1998-04en_US
dc.identifier.otherdsb/35en_US
dc.identifier.other1034en_US
dc.identifier.other4944055en_US
dc.identifier.urihttp://hdl.handle.net/11375/5575-
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.relation.ispartofseriesResearch and working paper series (Michael G. DeGroote School of Business)en_US
dc.relation.ispartofseriesno. 427en_US
dc.subjectBusinessen_US
dc.subjectBusinessen_US
dc.subject.lccDistances > Measurement > Mathematical models Business logisticsen_US
dc.titleApplication of weighted sums of order <i>p</i> to distance estimationen_US
dc.typearticleen_US
Appears in Collections:DeGroote School of Business Working Paper Series

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