Statistical Techniques for Transportation Engineering

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

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  • Author : Kumar Molugaram
  • Publisher : Butterworth-Heinemann
  • Pages : 554 pages
  • ISBN : 0128116420
  • Rating : 5/5 from 1 reviews
CLICK HERE TO GET THIS BOOKStatistical Techniques for Transportation Engineering

Statistical Techniques for Transportation Engineering

Statistical Techniques for Transportation Engineering
  • Author : Kumar Molugaram,G Shanker Rao
  • Publisher : Butterworth-Heinemann
  • Release : 03 March 2017
GET THIS BOOKStatistical Techniques for Transportation Engineering

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

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
  • Release : 02 December 2010
GET THIS BOOKStatistical and Econometric Methods for Transportation Data Analysis, Second Edition

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

Transportation Statistics and Microsimulation

Transportation Statistics and Microsimulation
  • Author : Clifford Spiegelman,Eun Sug Park,Laurence R. Rilett
  • Publisher : CRC Press
  • Release : 19 April 2016
GET THIS BOOKTransportation Statistics and Microsimulation

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

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
  • Release : 30 January 2020
GET THIS BOOKStatistical and Econometric Methods for Transportation Data Analysis

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

Traffic Engineering Handbook

Traffic Engineering Handbook
  • Author : ITE (Institute of Transportation Engineers),Brian Wolshon,Anurag Pande
  • Publisher : John Wiley & Sons
  • Release : 26 January 2016
GET THIS BOOKTraffic Engineering Handbook

"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"--

Quantitative Methods in Transportation

Quantitative Methods in Transportation
  • Author : Dušan Teodorović,Miloš Nikolić
  • Publisher : CRC Press
  • Release : 18 August 2020
GET THIS BOOKQuantitative Methods in Transportation

Quantitative Methods in Transportation provides the most useful, simple, and advanced quantitative techniques for solving real-life transportation engineering problems. It aims to help transportation engineers and analysts to predict travel and freight demand, plan new transportation networks, and develop various traffic control strategies that are safer, more cost effective, and greener. Transportation networks can be exceptionally large, and this makes many transportation problems combinatorial, and the challenges are compounded by the stochastic and independent nature of trip-planners decision making. Methods

Applications of Spatial Statistics

Applications of Spatial Statistics
  • Author : Ming Hung
  • Publisher : BoD – Books on Demand
  • Release : 02 November 2016
GET THIS BOOKApplications of Spatial Statistics

Spatial statistics has been widely used in many environmental studies. This book is a collection of recent studies on applying spatial statistics in subjects such as demography, transportation, precision agriculture and ecology. Different subjects require different aspects of spatial statistics. In addition to quantitative statements from statistics and tests, visualization in forms of maps, drawings, and images are provided to illustrate the relationship between data and locations. This book will be valuable to researchers who are interested in applying statistics

Statistics and Probability for Engineering Applications

Statistics and Probability for Engineering Applications
  • Author : William DeCoursey
  • Publisher : Elsevier
  • Release : 14 May 2003
GET THIS BOOKStatistics and Probability for Engineering Applications

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

Textile Engineering

Textile Engineering
  • Author : Anindya Ghosh,Bapi Saha,Prithwiraj Mal
  • Publisher : CRC Press
  • Release : 23 December 2021
GET THIS BOOKTextile Engineering

Focusing on the importance of the application of statistical techniques, this book covers the design of experiments and stochastic modeling in textile engineering. Textile Engineering: Statistical Techniques, Design of Experiments and Stochastic Modeling focuses on the analysis and interpretation of textile data for improving the quality of textile processes and products using various statistical techniques. FEATURES Explores probability, random variables, probability distribution, estimation, significance test, ANOVA, acceptance sampling, control chart, regression and correlation, design of experiments and stochastic modeling pertaining

Computational and Statistical Methods for Analysing Big Data with Applications

Computational and Statistical Methods for Analysing Big Data with Applications
  • Author : Shen Liu,James Mcgree,Zongyuan Ge,Yang Xie
  • Publisher : Academic Press
  • Release : 20 November 2015
GET THIS BOOKComputational and Statistical Methods for Analysing Big Data with Applications

Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data with Applications starts with an

Mathematical and Statistical Models and Methods in Reliability

Mathematical and Statistical Models and Methods in Reliability
  • Author : V.V. Rykov,N. Balakrishnan,M.S. Nikulin
  • Publisher : Springer Science & Business Media
  • Release : 02 November 2010
GET THIS BOOKMathematical and Statistical Models and Methods in Reliability

The book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by renowned experts in the field of reliability, the contributions cover a wide range of applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation. Mathematical and Statistical Models and Methods in Reliability is an excellent

Data Analytics for Intelligent Transportation Systems

Data Analytics for Intelligent Transportation Systems
  • Author : Mashrur Chowdhury,Amy Apon,Kakan Dey
  • Publisher : Elsevier
  • Release : 05 April 2017
GET THIS BOOKData Analytics for Intelligent Transportation Systems

Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required

Highway Safety Analytics and Modeling

Highway Safety Analytics and Modeling
  • Author : Dominique Lord,Xiao Qin,Srinivas Geedipally
  • Publisher : Elsevier
  • Release : 27 February 2021
GET THIS BOOKHighway Safety Analytics and Modeling

Highway Safety Analytics and Modeling comprehensively covers the key elements needed to make effective transportation engineering and policy decisions based on highway safety data analysis in a single. reference. The book includes all aspects of the decision-making process, from collecting and assembling data to developing models and evaluating analysis results. It discusses the challenges of working with crash and naturalistic data, identifies problems and proposes well-researched methods to solve them. Finally, the book examines the nuances associated with safety data