Statistical and Econometric Methods for Transportation Data Analysis (3rd Ed.) Chapman & Hall/CRC Interdisciplinary Statistics Series
Auteurs : Washington Simon, Karlaftis Matthew G., Mannering Fred, Anastasopoulos Panagiotis
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
Section I Fundamentals 1. Statistical Inference I: Descriptive Statistics 2. Statistical Inference II: Interval Estimation, Hypothesis Testing, and Population Comparisons Descriptive Statistics Section II Continuous Dependent Variable Models 3. Linear Regression 4. Violations of Regression Assumptions Simultaneous Equation Models 6. Panel Data Analysis 7. Background and Exploration in Time Series 8. Forecasting in Time Series: Autoregressive Integrated Moving Average (ARIMA) Models and Extensions 9. Latent Variable Models 10. Duration Models Section III Count and Discrete-Dependent Variable Models11. Count Data Models 12. Logistic Regression 13. Discrete Outcome Models 14. Ordered Probability Models 15. Discrete/Continuous Models Section IV Other Statistical Methods 16. Random Parameters Models 17. Latent Class (Finite Mixture) Models 18. Bivariate and Multivariate Dependent Variable Models 19. Bayesian Statistical Methods
Date de parution : 02-2020
17.8x25.4 cm
Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).
Prix indicatif 123,78 €
Ajouter au panierThèmes de Statistical and Econometric Methods for Transportation... :
Mots-clés :
ZINB Regression Model; Random Effects Negative Binomial Model; transportation data analysis; Bivariate Ordered Probit Model; transportation planning; Estimable Parameters; transportation problems; OLS Regression; continuous dependent variable models; Route Choice Probabilities; linear regression; Hazard Based Duration Models; count data models; Ordered Probability Models; panel data analysis; Regression Model; duration models; Sideswipe Crash; time series analysis; HOV Lane; logistic regression; Random Parameters Models; discrete outcome models; Negative Binomial; Discrete Outcome Model; continuous models; Roadway Segment; random-parameter models; Serial Correlation; Bayesian inference; Partial Autocorrelation Coefficient; Bayesian statistical modeling; Ordered Probit Model; Markov chain Monte Carlo; Unobserved Heterogeneity; transportation engineering; Freeway Segments; statistical and econometric tools; Discrete Outcome; Logit Model; Error Component Models; Cross-equation Error Correlation; ARIMA Model
