Statistical and Econometric Methods for Transportation Data Analysis 2nd Edition, by Simon P. Washington, Karlaftis and Mannering supplies analytical tools required to unravel transportation problems. It includes a large breadth of examples and case research covering applications in various features of transportation planning, engineering, security, and economics.
After a strong refresher on statistical fundamentals, the book focuses on steady dependent variable models and count and discrete dependent variable models. Along with an entirely new part on other statistical strategies, this version offers a wealth of new material.
New matters embrace subsection on Tobit and censored regressions, express therapy of frequency area time series analysis, together with Fourier and wavelets evaluation methods that presents logistic regression commonly used to model binary outcomes.
Statistical and Econometric Methods for Transportation Data Analysis also consists of latest chapter on ordered chance fashions, random-parameter models and Bayesian statistical modeling with new examples and knowledge sets. Every chapter clearly presents basic ideas and principles and contains quite a few references for those looking for additional technical details and applications.
To bolster a sensible understanding of the modeling methods, the information units used within the textual content are supplied on the book’s CRC Press internet page. PowerPoint and Word shows for each chapter are also obtainable for download.
In abstract, the book succeeds in providing a properly-written, clear and concise explanation of an array of statistical and econometric methods. The content material is introduced in a energetic and extremely readable method that conveys a definite sense that the authors truly understand the psyche of the student physique that includes the bulk of the goal market.
Statistical and Econometric Methods for Transportation Data Analysis, Second Edition
Simon P. Washington, Matthew G. Karlaftis and Fred L. Mannering
Chapman and Hall/CRC; 2 edition
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