Transportation Statistics and Microsimulation
In this treatment of statistics specifically directed to transportation planners and engineers, Spiegelman and other transportation experts discuss the basics of statistical and graphical methods, differences between methodologies, strategies for conducting computer-aided statistical designs (using JMP software by SAS), bias-corrected confidence intervals, re-sampling techniques for evaluating uncertainties, and the concepts of Bayesian estimation and smoothing estimators. They also overview increasingly used traffic microsimulation models. The text includes homework problems, appended information on soft modeling and nonparametric model building, and a companion website for access to data sets.—SciTech Book News, February 2011