Statistical and Econometric Methods for Transportation Data Analysis

Statistical and Econometric Methods for Transportation Data Analysis
  • Author : Simon Washington,Matthew G. Karlaftis,Fred Mannering,Panagiotis Anastasopoulos
  • Publisher : CRC Press
  • Pages : 496
  • Relase : 2020-01-30
  • ISBN : 9780429520754

Statistical and Econometric Methods for Transportation Data Analysis Book Review:

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 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.

Statistical and Econometric Methods for Transportation Data Analysis, Second Edition

Statistical and Econometric Methods for Transportation Data Analysis, Second Edition
  • Author : Simon P. Washington,Matthew G. Karlaftis,Fred L. Mannering
  • Publisher : CRC Press
  • Pages : 544
  • Relase : 2010-12-02
  • ISBN : 9781420082852

Statistical and Econometric Methods for Transportation Data Analysis, Second Edition Book Review:

The complexity, diversity, and random nature of transportation problems necessitates a broad analytical toolbox. Describing tools commonly used in the field, Statistical and Econometric Methods for Transportation Data Analysis, Second Edition provides an understanding of a broad range of analytical tools required to solve transportation problems. It includes a wide breadth of examples and case studies covering applications in various aspects of transportation planning, engineering, safety, and economics. After a solid refresher on statistical fundamentals, the book focuses on continuous dependent variable models and count and discrete dependent variable models. Along with an entirely new section on other statistical methods, this edition offers a wealth of new material. New to the Second Edition A subsection on Tobit and censored regressions An explicit treatment of frequency domain time series analysis, including Fourier and wavelets analysis methods New chapter that presents logistic regression commonly used to model binary outcomes New chapter on ordered probability models New chapters on random-parameter models and Bayesian statistical modeling New examples and data sets Each chapter clearly presents fundamental concepts and principles and includes numerous references for those seeking additional technical details and applications. To reinforce a practical understanding of the modeling techniques, the data sets used in the text are offered on the book’s CRC Press web page. PowerPoint and Word presentations for each chapter are also available for download.

Statistical and Econometric Methods for Transportation Data Analysis

Statistical and Econometric Methods for Transportation Data Analysis
  • Author : Simon Washington,Fred Mannering,Panagiotis Anastasopoulos
  • Publisher : CRC Press
  • Pages : 400
  • Relase : 2020-03-09
  • ISBN : 0367199025

Statistical and Econometric Methods for Transportation Data Analysis Book Review:

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 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.

Transportation Statistics and Microsimulation

Transportation Statistics and Microsimulation
  • Author : Clifford Spiegelman,Eun Sug Park,Laurence R. Rilett
  • Publisher : CRC Press
  • Pages : 384
  • Relase : 2016-04-19
  • ISBN : 9781439894545

Transportation Statistics and Microsimulation Book Review:

By discussing statistical concepts in the context of transportation planning and operations, Transportation Statistics and Microsimulation provides the necessary background for making informed transportation-related decisions. It explains the why behind standard methods and uses real-world transportation examples and problems to illustrate key conc

Essays on Transport Economics

Essays on Transport Economics
  • Author : Pablo Coto-Millán,Vicente Inglada
  • Publisher : Springer Science & Business Media
  • Pages : 381
  • Relase : 2007-02-02
  • ISBN : 9783790817652

Essays on Transport Economics Book Review:

This book explores analytical methods used in transportation economics and policy analysis. Encompassing fields of economics such as Industrial Organisation, Welfare Economics, General Equilibrium Theory and Input-Output-Analysis, the study of transport from an economic point of view serves as a test bench for applying methodologies of economic science to the real world. Each chapter opens with a brief theoretical introduction before evaluating case studies, using the state-of-the-art statistical and econometric techniques.

Statistical and Econometric Methods for Transportation Data Analysis

Statistical and Econometric Methods for Transportation Data Analysis
  • Author : Simon P. Washington,Matthew G. Karlaftis,Fred L. Mannering
  • Publisher : Chapman and Hall/CRC
  • Pages : 440
  • Relase : 2003-04-29
  • ISBN : 1584880309

Statistical and Econometric Methods for Transportation Data Analysis Book Review:

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.

Modeling of Transport Demand

Modeling of Transport Demand
  • Author : V.A Profillidis,G.N. Botzoris
  • Publisher : Elsevier
  • Pages : 500
  • Relase : 2018-10-23
  • ISBN : 9780128115145

Modeling of Transport Demand Book Review:

Modeling of Transport Demand explains the mechanisms of transport demand, from analysis to calculation and forecasting. Packed with strategies for forecasting future demand for all transport modes, the book helps readers assess the validity and accuracy of demand forecasts. Forecasting and evaluating transport demand is an essential task of transport professionals and researchers that affects the design, extension, operation, and maintenance of all transport infrastructures. Accurate demand forecasts are necessary for companies and government entities when planning future fleet size, human resource needs, revenues, expenses, and budgets. The operational and planning skills provided in Modeling of Transport Demand help readers solve the problems they face on a daily basis. Modeling of Transport Demand is written for researchers, professionals, undergraduate and graduate students at every stage in their careers, from novice to expert. The book assists those tasked with constructing qualitative models (based on executive judgment, Delphi, scenario writing, survey methods) or quantitative ones (based on statistical, time series, econometric, gravity, artificial neural network, and fuzzy methods) in choosing the most suitable solution for all types of transport applications. Presents the most recent and relevant findings and research - both at theoretical and practical levels - of transport demand Provides a theoretical analysis and formulations that are clearly presented for ease of understanding Covers analysis for all modes of transportation Includes case studies that present the most appropriate formulas and methods for finding solutions and evaluating results

Air Transport System Analysis and Modelling

Air Transport System Analysis and Modelling
  • Author : Milan Janic
  • Publisher : CRC Press
  • Pages : 318
  • Relase : 2014-04-21
  • ISBN : 9781482287547

Air Transport System Analysis and Modelling Book Review:

Presenting a comprehensive coverage, Air Transport System Analysis and Modelling is a unique text dealing with the analysis and modelling of the processes and operations carried out in all three parts of the air transport system, namely, airports, air traffic control and airlines. Seen from a planners point of view, this book provides insights into current methods and also gives details of new research. Methods are given for the analysis and modelling of the capacity, quality and economics of the service offered to users and includes illustrative analytical and simulation models of the systems operations supported by an appropriate analysis of real world events and applications. Undergraduates and graduates in the field of air transport planning and technology, applied operations research and applied transport economics will find this book to be of interest, as will specialists involved with transport institutes and consulting firms, policy makers dealing with air transport and the analysts and planners employed at air transport enterprises.

Urban Informatics

Urban Informatics
  • Author : Wenzhong Shi,Michael F. Goodchild,Michael Batty,Mei-Po Kwan,Anshu Zhang
  • Publisher : Springer Nature
  • Pages : 941
  • Relase : 2021-04-06
  • ISBN : 9789811589836

Urban Informatics Book Review:

This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.

Methods of Statistical Model Estimation

Methods of Statistical Model Estimation
  • Author : Joseph Hilbe,Andrew Robinson
  • Publisher : CRC Press
  • Pages : 255
  • Relase : 2016-04-19
  • ISBN : 9781439858035

Methods of Statistical Model Estimation Book Review:

Methods of Statistical Model Estimation examines the most important and popular methods used to estimate parameters for statistical models and provide informative model summary statistics. Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for statistical model fitting.The text presents algorith

Statistical Techniques for Data Analysis

Statistical Techniques for Data Analysis
  • Author : John K. Taylor,Cheryl Cihon
  • Publisher : CRC Press
  • Pages : 296
  • Relase : 2004-01-14
  • ISBN : 9781135439545

Statistical Techniques for Data Analysis Book Review:

Since the first edition of this book appeared, computers have come to the aid of modern experimenters and data analysts, bringing with them data analysis techniques that were once beyond the calculational reach of even professional statisticians. Today, scientists in every field have access to the techniques and technology they need to analyze stat

Mathematical Statistics for Applied Econometrics

Mathematical Statistics for Applied Econometrics
  • Author : Charles B Moss
  • Publisher : CRC Press
  • Pages : 363
  • Relase : 2014-10-16
  • ISBN : 9781466594098

Mathematical Statistics for Applied Econometrics Book Review:

An Introductory Econometrics Text Mathematical Statistics for Applied Econometrics covers the basics of statistical inference in support of a subsequent course on classical econometrics. The book shows students how mathematical statistics concepts form the basis of econometric formulations. It also helps them think about statistics as more than a toolbox of techniques. Uses Computer Systems to Simplify Computation The text explores the unifying themes involved in quantifying sample information to make inferences. After developing the necessary probability theory, it presents the concepts of estimation, such as convergence, point estimators, confidence intervals, and hypothesis tests. The text then shifts from a general development of mathematical statistics to focus on applications particularly popular in economics. It delves into matrix analysis, linear models, and nonlinear econometric techniques. Students Understand the Reasons for the Results Avoiding a cookbook approach to econometrics, this textbook develops students’ theoretical understanding of statistical tools and econometric applications. It provides them with the foundation for further econometric studies.

Optimal Transport Methods in Economics

Optimal Transport Methods in Economics
  • Author : Alfred Galichon
  • Publisher : Princeton University Press
  • Pages : 184
  • Relase : 2018-08-14
  • ISBN : 9780691183466

Optimal Transport Methods in Economics Book Review:

Optimal Transport Methods in Economics is the first textbook on the subject written especially for students and researchers in economics. Optimal transport theory is used widely to solve problems in mathematics and some areas of the sciences, but it can also be used to understand a range of problems in applied economics, such as the matching between job seekers and jobs, the determinants of real estate prices, and the formation of matrimonial unions. This is the first text to develop clear applications of optimal transport to economic modeling, statistics, and econometrics. It covers the basic results of the theory as well as their relations to linear programming, network flow problems, convex analysis, and computational geometry. Emphasizing computational methods, it also includes programming examples that provide details on implementation. Applications include discrete choice models, models of differential demand, and quantile-based statistical estimation methods, as well as asset pricing models. Authoritative and accessible, Optimal Transport Methods in Economics also features numerous exercises throughout that help you develop your mathematical agility, deepen your computational skills, and strengthen your economic intuition. The first introduction to the subject written especially for economists Includes programming examples Features numerous exercises throughout Ideal for students and researchers alike

Time Series with Mixed Spectra

Time Series with Mixed Spectra
  • Author : Ta-Hsin Li
  • Publisher : CRC Press
  • Pages : 680
  • Relase : 2013-07-18
  • ISBN : 9781584881766

Time Series with Mixed Spectra Book Review:

Time series with mixed spectra are characterized by hidden periodic components buried in random noise. Despite strong interest in the statistical and signal processing communities, no book offers a comprehensive and up-to-date treatment of the subject. Filling 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. Using both simulated and real-world data to illustrate the analyses, the book discusses periodogram analysis, autoregression, maximum likelihood, and covariance analysis. It considers real- and complex-valued time series, with and without the Gaussian assumption. The author also includes the most recent results on the Laplace and quantile periodograms as extensions of the traditional periodogram. Complete in breadth and depth, this book explains how to perform the spectral analysis of time series data to detect and estimate the hidden periodicities represented by the sinusoidal functions. The book not only extends results from the existing literature but also contains original material, including the asymptotic theory for closely spaced frequencies and the proof of asymptotic normality of the nonlinear least-absolute-deviations frequency estimator.

Transportation Systems Planning

Transportation Systems Planning
  • Author : Konstadinos G. Goulias
  • Publisher : CRC Press
  • Pages : 456
  • Relase : 2002-12-26
  • ISBN : 9781420042283

Transportation Systems Planning Book Review:

Transportation engineering and transportation planning are two sides of the same coin aiming at the design of an efficient infrastructure and service to meet the growing needs for accessibility and mobility. Many well-designed transport systems that meet these needs are based on a solid understanding of human behavior. Since transportation systems are the backbone connecting the vital parts of a city, in-depth understanding of human nature is essential to the planning, design, and operational analysis of transportation systems. With contributions by transportation experts from around the world, Transportation Systems Planning: Methods and Applications compiles engineering data and methods for solving problems in the planning, design, construction, and operation of various transportation modes into one source. It is the first methodological transportation planning reference that illustrates analytical simulation methods that depict human behavior in a realistic way, and many of its chapters emphasize newly developed and previously unpublished simulation methods. The handbook demonstrates how urban and regional planning, geography, demography, economics, sociology, ecology, psychology, business, operations management, and engineering come together to help us plan for better futures that are human-centered. The text reviews projects from an initial problem statement to final policy action and associated decision-making and examines policies at all levels of government, from the city to the national levels. Unlike many other handbooks which are encyclopedic reviews, Transportation Systems Planning extends far beyond modeling in engineering and economics to present a truly transdisciplinary approach to transportation systems planning.

Statistics and Econometric Models

Statistics and Econometric Models
  • Author : Christian Gourieroux
  • Publisher :
  • Pages : 526
  • Relase : 1995
  • ISBN : 0521478375

Statistics and Econometric Models Book Review:

Applied Regression Analysis in Econometrics

Applied Regression Analysis in Econometrics
  • Author : Howard E. Doran,Howard Doran,DORAN
  • Publisher : CRC Press
  • Pages : 400
  • Relase : 1989-04-24
  • ISBN : 0824780493

Applied Regression Analysis in Econometrics Book Review:

A textbook for a one-semester course for advanced undergraduate and graduate students in economics. Covers regression techniques in the context of single equation econometric models, featuring MINITAB and SHAZAM software examples for attacking real-world problems. Annotation copyright Book News, Inc

Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics

Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics
  • Author : Burcu Adıgüzel Mercangöz
  • Publisher : Springer Nature
  • Pages : 457
  • Relase : 2021-02-17
  • ISBN : 9783030541088

Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics Book Review:

This handbook presents emerging research exploring the theoretical and practical aspects of econometric techniques for the financial sector and their applications in economics. By doing so, it offers invaluable tools for predicting and weighing the risks of multiple investments by incorporating data analysis. Throughout the book the authors address a broad range of topics such as predictive analysis, monetary policy, economic growth, systemic risk and investment behavior. This book is a must-read for researchers, scholars and practitioners in the field of economics who are interested in a better understanding of current research on the application of econometric methods to financial sector data.

Spatial Econometric Methods in Agricultural Economics Using R

Spatial Econometric Methods in Agricultural Economics Using R
  • Author : Paolo Postiglione
  • Publisher : CRC Press
  • Pages : 286
  • Relase : 2021-12-23
  • ISBN : 9781498766838

Spatial Econometric Methods in Agricultural Economics Using R Book Review:

Modern tools, such as GIS and remote sensing, are increasingly used in the monitoring of agricultural resources. The developments in GIS technology offer growing opportunities to agricultural economics analysts dealing with large and detailed spatial databases, allowing them to combine spatial information from different sources and to produce different models. The availability of these valuable sources of information makes the advanced models suggested in the spatial statistic and econometric literature applicable to agricultural economics. This book aims at supporting stakeholders to design spatial surveys for agricultural data and/or to analyse the geographically collected data. This book attempts to describe the main typology of agricultural data and the most appropriate methods for the analysis, together with a detailed description of the available data sources and their collection methods. Topics such as spatial interpolation, point patterns, spatial autocorrelation, survey data analysis, small area estimation, regional data modelling, and spatial econometrics techniques are covered jointly with issues arising from the integration of several data types. The theory of spatial methods is complemented by real and/or simulated examples implemented through the open-source software R.

Stated Choice Methods

Stated Choice Methods
  • Author : Jordan J. Louviere,David A. Hensher,Joffre D. Swait
  • Publisher : Cambridge University Press
  • Pages : 402
  • Relase : 2000-09-28
  • ISBN : 0521788307

Stated Choice Methods Book Review:

Multidisciplinary graduate and practitioner guide offering the theory and application of stated choice methods.