Transportation Statistics and Microsimulation: 1st Edition (e-Book) book cover

Transportation Statistics and Microsimulation

1st Edition

By Clifford Spiegelman, Eun Sug Park, Laurence R. Rilett

Chapman and Hall/CRC

384 pages

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pub: 2010-10-18
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Description

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

Table of Contents

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.

About the Authors

Clifford Spiegelman is a distinguished professor of statistics at Texas A&M University, where he has been for twenty-three years. Dr. Spiegelman is also a senior research scientist at the Texas Transportation Institute.

Eun Sug Park is a research scientist at the Texas Transportation Institute. Dr. Park was a recipient of the TRB Pedestrian Committee Outstanding Paper Award (2006 and 2009) and the Patricia Waller Award (2009).

Laurence R. Rilett is a distinguished professor of civil engineering at the University of Nebraska-Lincoln. He also is the director of both the U.S. Department of Transportation's Region VII University Transportation Center and the Nebraska Transportation Center.

Subject Categories

BISAC Subject Codes/Headings:
MAT029000
MATHEMATICS / Probability & Statistics / General
TEC009020
TECHNOLOGY & ENGINEERING / Civil / General