LEADER 04192oam 2200493Mu 450 001 9910521809503321 005 20200226022015.0 010 $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$b[electronic resource] /$eSimon Washington, Matthew G. Karlaftis, Fred Mannering, Panagiotis Anastaspoulos 205 $aThird edition. 210 $aBoca Raton $cChapman & Hall/CRC$d2020 215 $a1 online resource (497 pages) 225 1 $aChapman & Hall/CRC interdisciplinary statistics series 300 $aDescription based upon print version of record. 311 $a0-367-19902-5 330 $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 608 $aElectronic books. 615 0$aTransportation$xStatistical methods. 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$01079595 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910521809503321 996 $aStatistical and econometric methods for transportation data analysis$92592225 997 $aUNINA