Statistical and Econometric Methods for Transportation Data Analysis

This book offers a refresher on statistical fundamentals, considers discrete outcome models statistically, and then relates them to economic theories of consumer choice. Newer classes of model, including random-parameter models, are introduced. The increasing prevalence of Bayesian inference, as well as Markov chain Monte Carlo methods, are examined. Several examples involving transportation planning, engineering, safety and economics are included. The following are new to this second edition: a subsection on Tobit and censored regressions; an explicit treatment of frequency domain time series analysis, including Fourier and wavelets analysis methods; a new chapter that presents logistic regression commonly used to model binary outcomes; a new chapter on ordered probability models; new chapters on random-parameter models and Bayesian statistical modeling; and new examples and data sets.

• Summary URL:
  • http://www.crcpress.com/product/isbn/9781420082852
• Availability:
  • Find a library where document is available. Order URL: http://www.crcpress.com/product/isbn/9781420082852
• Corporate Authors:

  CRC Press

  6000 Broken Sound Parkway, NW, Suite 300
  Boca Raton, FL  United States  33487
• Authors:
  • Washington, Simon P
  • Karlaftis, Matthew G
  • Mannering, Fred L
• Publication Date: 2010-12-2

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: 544p

Subject/Index Terms

• TRT Terms: Bayes' theorem; Data analysis; Econometric models; Econometrics; Logistic regression analysis; Markov chains; Monte Carlo method; Statistical analysis; Traffic data; Transportation planning
• Subject Areas: Data and Information Technology; Economics; Highways; Planning and Forecasting; I10: Economics and Administration; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01539557
• Record Type: Publication
• ISBN: 9781439881194
• Files: TRIS
• Created Date: Sep 29 2014 10:08AM