Confidence Intervals for l k, p,(theta) Distances

Robert F. Love, John H. Walker and Moti L. Tiku
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Robert F. Love: McMaster University, Hamilton, Ontario, Canada
John H. Walker: McMaster University, Hamilton, Ontario, Canada
Moti L. Tiku: McMaster University, Hamilton, Ontario, Canada

Transportation Science, 1995, vol. 29, issue 1, 93-100

Abstract: Distance predicting functions have a number of uses when objects in space can be represented as points. When a predicted distance between two points is determined by a distance predicting function, the unknown distance between the points may be overestimated or underestimated due to the statistical nature of distance predicting functions. Since an analyst may desire a measure of the accuracy of the predicted distance, we have developed a procedure for calculating confidence intervals for unknown distances. The procedure utilizes information that is provided by the sample Pearson coefficients.

Date: 1995
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ortrsc:v:29:y:1995:i:1:p:93-100

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