Statistical and Econometric Methods for Transportation Data Analysis EPUB
by Simon Washington, Matthew G. Karlaftis, Fred Mannering, Panagiotis Anastasopoulos
Part of the Chapman & Hall/CRC Interdisciplinary Statistics series
EPUB
Description
The book's website (with databases and other support materials) can be accessed here.
Praise for the Second Edition:
The second edition introduces an especially broad set of statistical methods ... As a lecturer in both transportation and marketing research, I find this book an excellent textbook for advanced undergraduate, Master's and Ph.D. students, covering topics from simple descriptive statistics to complex Bayesian models. ... It is one of the few books that cover an extensive set of statistical methods needed for data analysis in transportation. The book offers a wealth of examples from the transportation field. -The American Statistician
Statistical and Econometric Methods for Transportation Data Analysis, Third Edition
New to the Third Edition
- Updated references and improved examples throughout.
- New sections on random parameters linear regression and ordered probability models including the hierarchical ordered probit model.
- A new section on random parameters models with heterogeneity in the means and variances of parameter estimates.
- Multiple new sections on correlated random parameters and correlated grouped random parameters in probit, logit and hazard-based models.
- A new section discussing the practical aspects of random parameters model estimation.
- A new chapter on Latent Class Models.
- A new chapter on Bivariate and Multivariate Dependent Variable Models.
Statistical and Econometric Methods for Transportation Data Analysis, Third Edition
Information
-
Download - Immediately Available
- Format:EPUB
- Pages:496 pages
- Publisher:CRC Press
- Publication Date:30/01/2020
- Category:
- ISBN:9780429534225
Other Formats
- Hardback from £105.00
- PDF from £94.50
Information
-
Download - Immediately Available
- Format:EPUB
- Pages:496 pages
- Publisher:CRC Press
- Publication Date:30/01/2020
- Category:
- ISBN:9780429534225