William F. Eddy is Professor of Statistics at Carnegie Mellon University. His research interests include the analysis of functional magnetic resonance imaging data. He has published widely on the topics of statistical computation and statistical graphics, especially dynamic graphics. He was a founding editor of Chance magazine and of the Journal of Computational and Graphical Statistics. He is a former Chairman of the NRC Committee on Applied and Theoretical Statistics and has served on a number of other NRC committees, including the Committee on National Statistics and the Panel on Statistical Programs and Practices of the Bureau of Transportation Statistics. He holds an A.B. degree from Princeton University, and M.A., M.Phil., and Ph.D. degrees from Yale University.

T. Keith Lawton is Director of Technical Services with the Planning Department of Metro, the metropolitan planning organization for the Portland, Oregon, region. He is currently developing a new-paradigm model of travel demand that replaces trip generation with daily activity pattern generation. A prototype of this model is being used in a congestion pricing study. He is also working with Los Alamos National Laboratories on the development and implementation of the second demonstration of operating capability of the TRANSIMS microsimulation model in the Portland region, as part of USDOT’s Transportation Model Improvement Program. He chaired the TRB Committee on Passenger Travel Demand Forecasting for 6 years and was a member of the NRC Committee for the Evaluation of the Congestion Mitigation and Air Quality Improvement Program. He holds a B.S. in civil engineering from the University of Natal, South Africa, and an M.S. in civil and environmental engineering from Duke University.

James M. Lepkowski is a Senior Research Scientist at the Institute for Social Research, University of Michigan, where he works as a sampling statistician developing new survey sampling methods and applying them to diverse problems. His current research focuses on telephone sampling methods, methods to compensate for missing survey data, and methods to analyze survey data that take account of the complexity of the survey sample design. He has served on a variety of national and international advisory committees on survey research methods for or-

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