Statistical and econometric methods for transportation data analysis

Simon P. Washington, Matthew G. Karlaftis, Fred L. Mannering

426 pages, parution le 28/05/2003

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Résumé

Offers a concise, unified presentation of statistical and econometric analytical techniques applied in a broad range of transportation applications· Begins by reviewing the fundamentals of statistical inference· Presents only the essential theoretical aspects of statistics, focusing instead on using its methods for problem solving
Includes numerous examples and case studies from a broad spectrum of transportation applications

As the field of transportation moves toward the "total quality management" paradigm, performance-based outcomes and quantitative measures have become increasingly important. Measuring performance in the field depends heavily on modeling trends and data, which in turn requires powerful, and flexible analytical tools. To date, however, transportation professionals have lacked a unified, rigorous guide to modeling the wide range of problems they encounter in the field.

Statistical and Econometric Methods for Transportation Data describes the techniques most useful for modeling the many complex aspects of transportation, such as travel demand, safety, emissions, and the environment. Taking care not to overwhelm readers with statistical theory, the authors clearly and concisely present the relevant analytical methods in quantitative chapters built on transportation case studies. Mastering this material enables readers to:

Formulate research hypotheses
Identify appropriate statistical and econometric models
Avoid common pitfalls and misapplications of statistical methods
Interpret model results correctly

Ideal as both a textbook and reference, this book makes three unique contributions to transportation practice and education. First, it presents a host of analytical techniques-both common and sophisticated-used to model transportation phenomena. Second, it provides a wealth of examples and case studies, and third, it specifically targets present and future transportation professionals. It builds the foundation they need not only to apply analytical models but also to understand and interpret results published elsewhere.

Fundamentals
- Statistical Inference I: Descriptive Statistics
- Statistical Inference II: Interval Estimation, Hypothesis Testing, and Population Comparisons

Continuous dependent variable models
- Linear Regression
- Violations of Regression Assumptions
- Simultaneous Equations Models
- Panel Data Analysis
- Time Series Analysis
- Latent Variable Models
- Duration Models

Count and discrete dependent variable models
- Count Data Models
- Discrete Outcome Models
- Discrete/Continuous Models

Appendixes
- Statistical Fundamentals
- Glossary of Terms
- Statistical Tables
- Variable Transformations

References
Index

L'auteur - Simon P. Washington

University of Arizona, Tucson, Arizona, USA

L'auteur - Matthew G. Karlaftis

National Technical University of Athens, Athens, Greece

L'auteur - Fred L. Mannering

Purdue University, West Lafayette, Indiana, USA

Caractéristiques techniques

	PAPIER
Éditeur(s)	Chapman and Hall / CRC
Auteur(s)	Simon P. Washington, Matthew G. Karlaftis, Fred L. Mannering
Parution	28/05/2003
Nb. de pages	426
Format	16 x 24
Couverture	Relié
Poids	745g
Intérieur	Noir et Blanc
EAN13	9781584880301
ISBN13	978-1-58488-030-1