The complexity, diversity, and random nature
of transportation problems necessitates a broad analytical toolbox.
Describing tools commonly used in the field, Statistical and Econometric Methods for Transportation Data Analysis, Second Edition provides an understanding of a broad range of analytical tools required
to solve transportation problems. It includes a wide breadth of
examples and case studies covering applications in various aspects of
transportation planning, engineering, safety, and economics. After
a solid refresher on statistical fundamentals, the book focuses on
continuous dependent variable models and count and discrete dependent
variable models. Along with an entirely new section on other statistical
methods, this edition offers a wealth of new material. New to the Second Edition: A subsection on Tobit and censored regressions + An explicit treatment of frequency domain time series analysis, including Fourier and wavelets analysis methods + New chapter that presents logistic regression commonly used to model binary outcomes + New chapter on ordered probability models + New chapters on random-parameter models and Bayesian statistical modeling + New examples and data sets. Each
chapter clearly presents fundamental concepts and principles and
includes numerous references for those seeking additional technical
details and applications. To reinforce a practical understanding of the
modeling techniques, the data sets used in the text are offered on the
book’s CRC Press web page. PowerPoint and Word presentations for each
chapter are also available for download.