The diversity, complexity, 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 2nd Edition (PDF) provides an understanding of a broad range of analytical tools required to solve problems of transportation. It includes a wide breadth of case studies and examples covering applications in various aspects of transportation engineering, planning, economics, and safety.
After a solid refresher on statistical fundamentals, the PDF ebook focuses on continuous dependent variable models and count and discrete dependent variable models. Along with an entirely new section on other statistical methods, this 2nd edition offers a wealth of new material.
New to the Statistical and Econometric Methods for Transportation Data Analysis Second Edition
- New data sets and examples
- New chapter on ordered probability models
- A subsection on censored and Tobit regressions
- New chapters on random-parameter models and Bayesian statistical modeling
- A new chapter that presents logistic regression commonly used to model binary outcomes
- An explicit treatment of frequency domain time series analysis, including wavelets and Fourier analysis methods
Every 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 textbook are offered on the ebook’s CRC Press web page. PowerPoint and Word presentations for each chapter are also available for download (not included in this purchase).