LEADER 05145oam 2200529Mu 450 001 9910799936303321 005 20230822232207.0 010 $a0-429-53422-1 010 $a0-429-52075-1 010 $a0-429-24401-0 035 $a(CKB)4100000010134729 035 $a(MiAaPQ)EBC6031992 035 $a(OCoLC)1139923913 035 $a(OCoLC-P)1139923913 035 $a(FlBoTFG)9780429244018 035 $a(EXLCZ)994100000010134729 100 $a20200208d2020 uy 0 101 0 $aeng 135 $aurcnu---unuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistical and econometric methods for transportation data analysis /$eSimon Washington [et al.] 205 $aThird edition. 210 $aBoca Raton, FL $cChapman & Hall/CRC$d2020 215 $a1 online resource (497 pages) 225 1 $aInterdisciplinary statistics 300 $aDescription based upon print version of record. 311 1 $a0-367-19902-5 327 $aSection 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 330 $aPraise 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 offers an expansion over the first and second editions in response to the recent methodological advancements in the fields of econometrics and statistics and to provide an increasing range of examples and corresponding data sets. It describes and illustrates some of the statistical and econometric tools commonly used in transportation data analysis. It provides a wide breadth of examples and case studies, covering applications in various aspects of transportation planning, engineering, safety, and economics.Ample analytical rigor is provided in each chapter so that fundamental concepts and principles are clear and numerous references are provided for those seeking additional technical details and applications. 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 can serve as a textbook for advanced undergraduate, Masters, and Ph.D. students in transportation-related disciplines including engineering, economics, urban and regional planning, and sociology. The book also serves as a technical reference for researchers and practitioners wishing to examine and understand a broad range of statistical and econometric tools required to study transportation problems. 410 0$aInterdisciplinary statistics. 606 $aTransportation$xStatistical methods 606 $aTransportation$xEconometric models 615 0$aTransportation$xStatistical methods. 615 0$aTransportation$xEconometric models. 676 $a388.015195 700 $aWashington$b Simon$0759655 701 $aKarlaftis$b Matthew G$0614269 701 $aMannering$b Fred L$0614270 701 $aAnastasopoulos$b Panagiotis Ch$01586744 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910799936303321 996 $aStatistical and econometric methods for transportation data analysis$93873610 997 $aUNINA