Loglinear Models and Goodness-of-Fit Statistics for Train Waybill Data

Herbert Lee* Duke University

Kert Viele University of Kentucky

Counts of carloads of train shipments are effectively described with loglinear models. This paper presents models of counts by...

Table 1 - Cross Validation Goodness-of-Fit Statistics for the Top Models

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Acknowledgements

Norman Y. Mineta Secretary

Michael P. Jackson Deputy Secretary

Ashish K. Sen Director

Richard R. Kowalewski Deputy Director

Susan J. Lapham Associate Director for...

Accounting for Uncertainty in Estimates of Total Traffic Volume: An Empirical Bayes Approach

Gary Davis* University of Minnesota

Shimin Yang The St. Paul Companies

Predicted or estimated totals of traffic volume over one or more years are required in both highway...

Table 2 - Evaluation of 90% Prediction Intervals: Second Factor Group

NOTE: Bolding indicates ATRs that have counts falling outside the credible bounds.

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Table 1 - Evaluation of 90% Prediction Intervals: First Factor Group

NOTE: Bolding indicates ATRs that have counts falling outside the credible bounds.

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Table 3 - Evaluation of 90% Prediction Intervals: Third Factor Group

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Volume 4 Number 1 Editorial Board

David Banks, Editor-in-Chief Susan Lapham, Associate Editor John V. Wells, Associate Editor Deborah Moore, Managing Editor Martha Courtney, Editor Marsha Fenn, Project...

Assessing the Impact of Speed-Limit Increases on Fatal Interstate Crashes - Discussion 1

Johannes Ledolter* University of Iowa

I congratulate the authors for a very careful, statistically sophisticated, and impartial study on the impact of recent speed-limit changes on fatal...

Assessing the Impact of Speed-Limit Increases on Fatal Interstate Crashes - Discussion 2

Michael D. Fontaine Tongbin Teresa Qu Texas Transportation Institute

Karl Zimmerman Clifford H. Spiegelman* Texas A&M University

The Balkin/Ord paper has addressed the timely and...