Clifford Spiegelman, Eun Sug Park, Laurence R. Rilett

Transportation Statistics and Microsimulation

• Broschiertes Buch

Produktbeschreibung

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 concepts.

The Tools and Methods to Solve Transportation Problems
Classroom-tested at Texas A&M University, the text covers the statistical techniques most frequently employed by transportation and pavement professionals. To familiarize readers with the underlying theory and equations, it contains problems that can be solved using statistical software. The authors encourage the use of SAS's JMP package, which enables users to interactively explore and visualize data. Students can buy their own copy of JMP at a reduced price via a postcard in the book.

Practical Examples Show How the Methods Are Used in Action
Drawing on the authors' extensive application of statistical techniques in transportation research and teaching, this textbook explicitly defines the underlying assumptions of the techniques and shows how they are used in practice. It presents terms from both a statistical and a transportation perspective, making conversations between transportation professionals and statisticians smoother and more productive.

Produktdetails

• Verlag: CRC Press / Taylor & Francis
• Seitenzahl: 384
• Englisch
• Abmessung: 20mm x 156mm x 234mm
• Gewicht: 760g
• ISBN-13: 9781032477664
• Artikelnr.: 72813051

Inhaltsangabe

Overview: The Role of Statistics in Transportation Engineering. Graphical Methods for Displaying Data. Numerical Summary Measures. Probability and Random Variables. Common Probability Distributions. Sampling Distributions. Inferences: Hypothesis Testing and Interval Estimation. Other Inferential Procedures: ANOVA and Distribution-Free Tests. Inferences Concerning Categorical Data. Linear Regression. Regression Models for Count Data. Experimental Design. Cross-Validation, Jackknife, and Bootstrap Methods for Obtaining Standard Errors. Bayesian Approaches to Transportation Data Analysis. Microsimulation. Appendix.

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Overview: The Role of Statistics in Transportation Engineering. Graphical
Methods for Displaying Data. Numerical Summary Measures. Probability and
Random Variables. Common Probability Distributions. Sampling Distributions.
Inferences: Hypothesis Testing and Interval Estimation. Other Inferential
Procedures: ANOVA and Distribution-Free Tests. Inferences Concerning
Categorical Data. Linear Regression. Regression Models for Count Data.
Experimental Design. Cross-Validation, Jackknife, and Bootstrap Methods for
Obtaining Standard Errors. Bayesian Approaches to Transportation Data
Analysis. Microsimulation. Appendix.

Rezensionen

In this treatment of statistics specifically directed to transportation planners and engineers, Spiegelman and other transportation experts discuss the basics of statistical and graphical methods, differences between methodologies, strategies for conducting computer-aided statistical designs (using JMP software by SAS), bias-corrected confidence intervals, re-sampling techniques for evaluating uncertainties, and the concepts of Bayesian estimation and smoothing estimators. They also overview increasingly used traffic microsimulation models. The text includes homework problems, appended information on soft modeling and nonparametric model building, and a companion website for access to data sets.
-SciTech Book News, February 2011