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Statistical and Econometric Methods for Transportation Data Analysis (Chapman & Hall/CRC Interdisciplinary Statistics) - Hardcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
Simon P. Washington is the Queensland Transport and Main Roads chair and professor in the School of Urban Development, Faculty of Built Environment and Engineering, Center for Accident Research and Road Safety (CARRS-Q), Faculty of Health at Queensland University of Technology. Dr. Washington is an associate editor of the Journal of Transportation Engineering; area editor of the Journal of Transportation Safety and Security; and an editorial board member of Accident Analysis & Prevention, the Journal of Sustainable Transportation, and Transportation Research: Part A. His research interests include transport mobility safety and risk, travel behavior, urban and transport planning, and transport sustainability.
Matthew G. Karlaftis is an associate professor in the School of Civil Engineering at the National Technical University of Athens. Dr. Karlaftis is European editor of the Journal of Transportation Engineering; an associate editor of the Journal of Infrastructure Systems; and an editorial board member of Transportation Research: Part C, IET Intelligent Transport Systems, Accident Analysis & Prevention, and Transportation Letters. His research areas include public transit operations, urban transportation, and infrastructure management.
Fred L. Mannering is the Charles Pankow Professor of Civil Engineering at Purdue University, where he also holds a courtesy appointment in the Department of Economics. Dr. Mannering is the author of over 100 journal papers and is the editor-in-chief of Transportation Research: Part B. His research interests include the application of econometric and statistical methods to engineering problems, highway safety, transportation economics, automobile demand, and travel behavior.
"About this title" may belong to another edition of this title.
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Statistical and Econometric Methods for Transportation Data Analysis (Chapman & Hall/CRC Interdisciplinary Statistics)
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Statistical and Econometric Methods for Transportation Data Analysis (Chapman & Hall/CRC Interdisciplinary Statistics)
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Statistical and Econometric Methods for Transportation Data Analysis (Chapman & Hall/CRC Interdisciplinary Statistics)
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Statistical and Econometric Methods for Transportation Data Analysis (Chapman & Hall/CRC Interdisciplinary Statistics)
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Statistical and Economic Methods for Transportation Data Analysis
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