Statistical and Econometric Methods for Transportation Data Analysis
- ISBN-10
- 1584880309
- ISBN-13
- 9781584880301
- Series
- Statistical and Econometric Methods for Transportation Data Analysis
- Category
- Mathematics
- Pages
- 440
- Language
- English
- Published
- 2003-04-29
- Publisher
- Chapman and Hall/CRC
- Authors
- Simon P. Washington, Matthew G. Karlaftis, Fred L. Mannering
Description
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.
Get the book
Other editions
-
- 2020-03-09
- 400 pages
- Paperback
- CRC Press
-
- 2020-01-30
- 496 pages
- Ebook
- CRC Press
-
- 2020-01-30
- 478 pages
- Paperback
- CRC Press
Similar books
-
Statistical and Econometric Methods for Transportation Data Analysis, Second Edition
By Simon P. Washington, Matthew G. Karlaftis, Fred ManneringGibbons, J. and Gastwirth, J. (1970). Properties of the percentile modified rank tests. Annals of the Institute of Statistical Mathematics, Suppl. 6,95–114. Gilbert, C. (1992). A duration model of automobile ownership.
-
Statistical and Econometric Methods for Transportation Data Analysis
By Simon WashingtonStatistical and Econometric Methods for Transportation Data Analysis
-
Transportation Statistics and Microsimulation
By Clifford Spiegelman, Eun Sug Park, Laurence R. Rilett3.5.1 pearson's Sample correlation coefficient Let (x1, y1), (x2, y2 ), variables X and ..., Y, where (xn x –, y and n ) denote y – are the a sample corresponding of measurements sample means. on the For example, let X represent spot ...
-
Spatial Analysis Using Big Data: Methods and Urban Applications
By Yoshiki Yamagata, Hajime SeyaSpatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems.
-
Spatial Econometric Methods in Agricultural Economics Using R
By Paolo PostiglioneThis book aims at supporting stakeholders to design spatial surveys for agricultural data and/or to analyse the geographically collected data.
-
Time Series with Mixed Spectra
By Ta-Hsin LiFilling this void, Time Series with Mixed Spectra focuses on the methods and theory for the statistical analysis of time series with mixed spectra. It presents detailed theoretical and empirical analyses of important methods and algorithms.
-
Metropolitan Transportation Planning
By John W. DickeyFirst Published in 2018. Routledge is an imprint of Taylor & Francis, an Informa company.
-
Microeconometrics: Methods and Applications
By A. Colin Cameron, Pravin K. Trivedi... 327, 565, 684 participation equation, 547, 551 Pearson chi-square goodness-of-fit test, 266 Pearson residual, 289, 291 peer-effects model, 832 percentile, 86 percentile method, 364–5, 367–8 percentile-t method, 364, 366–7 PH model.
-
Econometric Methods with Applications in Business and Economics
By Christiaan Heij, Paul de Boer, Philip Hans Franses... and the Brennan– Schwartz model that g 1⁄4 1. a. Estimate the four parameters in y by (two-step) FWLS. b. Estimate y by maximum likelihood, assuming that the error terms ei are normally distributed. Compare the estimates with the ...
-
Introduction to Spatial Econometrics
By James LeSage, Robert Kelley PaceLee, L.-F. (2004). “Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Econometric Models,” Econometrica, 72, 1899-1926. Lee, M. and R.K. Pace (2005). “Spatial Distribution of Retail Sales,” Journal of Real ...