Statistical Techniques For Transportation Engineering

Author: Kumar Molugaram
Publisher: Butterworth-Heinemann
ISBN: 9780128116425
Size: 13.96 MB
Format: PDF, ePub, Mobi
View: 91

Statistical Techniques for Transportation Engineering is written with a systematic approach in mind and covers a full range of data analysis topics, from the introductory level (basic probability, measures of dispersion, random variable, discrete and continuous distributions) through more generally used techniques (common statistical distributions, hypothesis testing), to advanced analysis and statistical modeling techniques (regression, AnoVa, and time series). The book also provides worked out examples and solved problems for a wide variety of transportation engineering challenges. Demonstrates how to effectively interpret, summarize, and report transportation data using appropriate statistical descriptors Teaches how to identify and apply appropriate analysis methods for transportation data Explains how to evaluate transportation proposals and schemes with statistical rigor

Statistical And Econometric Methods For Transportation Data Analysis Second Edition

Author: Simon P. Washington
Publisher: CRC Press
ISBN: 9781420082869
Size: 15.41 MB
Format: PDF, Kindle
View: 68

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.

Transportation Statistics And Microsimulation

Author: Clifford Spiegelman
Publisher: CRC Press
ISBN: 9781439894545
Size: 10.50 MB
Format: PDF, ePub, Docs
View: 70

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.

Traffic Engineering Handbook

Author: ITE (Institute of Transportation Engineers)
Publisher: John Wiley & Sons
ISBN: 9781118762301
Size: 18.80 MB
Format: PDF, ePub
View: 81

"The Traffic Engineering Handbook is a comprehensive practice-oriented reference that presents the fundamental concepts of traffic engineering, commensurate with the state of the practice"--

Statistics In Civil Engineering

Author: Andrew V. Metcalfe
Publisher: John Wiley & Sons
ISBN: 0471194840
Size: 13.39 MB
Format: PDF, Kindle
View: 28

Statistical methods for the civil engineer. Practical examples clearly explain the underlying mathematical concepts. Readers learn to write their own programs and learn about useful commercial software.Offers examples based on real applications. -- Applies statistical techniques to civil engineering practice.

Statistical Techniques For High Voltage Engineering

Author: Wolfgang Hauschild
Publisher: IET
ISBN: 086341205X
Size: 20.29 MB
Format: PDF, Docs
View: 33

In any industry or system it is necessary to evaluate risks and consequences of unexpected changes to the operation. In power engineering, variables are encountered throughout production, transmission and consumption processes. This book is written from years of experimenting with different mathematical techniques to model these uncertainties, use of which should open up new possibilities of rationalisation and efficiency. Although written by and primarily for high-voltage engineers, all engineers will find the techniques of interest and benefit.

Statistics And Probability For Engineering Applications

Author: William DeCoursey
Publisher: Elsevier
ISBN: 9780080489759
Size: 14.73 MB
Format: PDF, Docs
View: 70

Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course. This textbook minimizes the derivations and mathematical theory, focusing instead on the information and techniques most needed and used in engineering applications. It is filled with practical techniques directly applicable on the job. Written by an experienced industry engineer and statistics professor, this book makes learning statistical methods easier for today's student. This book can be read sequentially like a normal textbook, but it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem. Each new concept is clearly and briefly described, whenever possible by relating it to previous topics. Then the student is given carefully chosen examples to deepen understanding of the basic ideas and how they are applied in engineering. The examples and case studies are taken from real-world engineering problems and use real data. A number of practice problems are provided for each section, with answers in the back for selected problems. This book will appeal to engineers in the entire engineering spectrum (electronics/electrical, mechanical, chemical, and civil engineering); engineering students and students taking computer science/computer engineering graduate courses; scientists needing to use applied statistical methods; and engineering technicians and technologists. * Filled with practical techniques directly applicable on the job * Contains hundreds of solved problems and case studies, using real data sets * Avoids unnecessary theory