Statistical Techniques for Transportation Engineering

Statistical Techniques for Transportation Engineering Author Kumar Molugaram
ISBN-10 9780128116425
Year 2017-03-03
Pages 554
Language en
Publisher Butterworth-Heinemann
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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

Statistical and Econometric Methods for Transportation Data Analysis  Second Edition Author Simon P. Washington
ISBN-10 9781420082869
Year 2010-12-02
Pages 544
Language en
Publisher CRC Press
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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

Transportation Statistics and Microsimulation Author Clifford Spiegelman
ISBN-10 9781439894545
Year 2016-04-19
Pages 384
Language en
Publisher CRC Press
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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

Traffic Engineering Handbook Author ITE (Institute of Transportation Engineers)
ISBN-10 9781118762301
Year 2016-01-26
Pages 688
Language en
Publisher John Wiley & Sons
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"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

Statistics in Civil Engineering Author Andrew V. Metcalfe
ISBN-10 0471194840
Year 1997
Pages 420
Language en
Publisher John Wiley & Sons
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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.

Applications of Statistics and Probability in Civil Engineering

Applications of Statistics and Probability in Civil Engineering Author Michael Faber
ISBN-10 9780203144794
Year 2011-07-15
Pages 2823
Language en
Publisher CRC Press
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Under the pressure of harsh environmental conditions and natural hazards, large parts of the world population are struggling to maintain their livelihoods. Population growth, increasing land utilization and shrinking natural resources have led to an increasing demand of improved efficiency of existing technologies and the development of new ones. Additionally, growing complexities of societal functionalities and interdependencies among infrastructures and urban habitats amplify consequences of malfunctions and failures. Malevolence, sustainable developments and climatic changes have more recently been added to the list of challenges. Over the last decades, substantial progress has been made in assessing and quantifying risks. However, with regard to the broader utilization of risk assessment as a means for societal strategic and operational planning, there is still a great need for further development. Applications of Statistics and Probability in Civil Engineering contains the proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP11, Zürich, Switzerland, 1-4 August 2011). The book focuses not only on the more traditional technical issues, but also emphasizes the societal context of the decision making problems including the interaction between stakeholders. This holistic perspective supports the enhanced and sustainable allocation of limited resources for the improvement of safety, environment and economy. The book is of interest to researchers and scientists working in the field of risk and reliability in engineering; to professionals and engineers, including insurance and consulting companies working with natural hazards, design, operation and maintenance of civil engineering and industrial facilities; and to decision makers and professionals in the public sector, including nongovernmental organisations responsible for risk management in the public domain, e.g. building authorities, the health and safety executives, the United Nations and the World Economic Forum.

Applied Statistics and Probability for Engineers Student Solutions Manual

Applied Statistics and Probability for Engineers  Student Solutions Manual Author Douglas C. Montgomery
ISBN-10 9780470888445
Year 2010-08-09
Pages 398
Language en
Publisher John Wiley & Sons
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Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are integrated into the engineering problem-solving process, all major aspects of engineering statistics are covered. Developed with sponsorship from the National Science Foundation, this text incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.

Statistical Techniques for High voltage Engineering

Statistical Techniques for High voltage Engineering Author Wolfgang Hauschild
ISBN-10 086341205X
Year 1992-01
Pages 310
Language en
Publisher IET
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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

Statistics and Probability for Engineering Applications Author William DeCoursey
ISBN-10 9780080489759
Year 2003-05-14
Pages 396
Language en
Publisher Elsevier
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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

Research Methods for Engineers

Research Methods for Engineers Author David V. Thiel
ISBN-10 9781107034884
Year 2014-09-11
Pages 302
Language en
Publisher Cambridge University Press
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Plan for maximum impact with this hands-on guide to conducting high-quality engineering research.

Numerical and Statistical Methods for CIVIL ENGINEERING GTU 2016

Numerical and Statistical Methods for CIVIL ENGINEERING  GTU 2016 Author Ravish R Singh
ISBN-10 9789339224738
Year
Pages
Language en
Publisher McGraw-Hill Education
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Each topic has been explained from the examination point of view, wherein the theory is presented in an easy-to-understand student-friendly style. Full coverage of concepts is supported by numerous solved examples with varied complexity levels, which is aligned to the latest GTU syllabus. Fundamental and sequential explanation of topics is well aided by examples and exercises. The solutions of examples are set following a ‘tutorial’ approach, which will make it easy for students from any background to easily grasp the concepts. Exercises with answers immediately follow the solved examples enforcing a practice-based approach. We hope that the students will gain logical understanding from solved problems and then reiterate it through solving similar exercise problems themselves. The unique blend of theory and application caters to the requirements of both the students and the faculty. Solutions of GTU examination questions are incorporated within the text appropriately. Highlights • Crisp content strictly as per the latest GTU syllabus of Numerical and Statistical Methods (Regulation 2014) • Comprehensive coverage with lucid presentation style • Each section concludes with an exercise to test understanding of topics • Solutions of GTU examination papers from 2010 to 2015 present appropriately within the chapters • Rich exam-oriented pedagogy: Solved Examples within chapters: 443 Solved GTU questions tagged within chapters: 130 Unsolved Exercises: 468

Numerical and Statistical Methods for Bioengineering

Numerical and Statistical Methods for Bioengineering Author Michael R. King
ISBN-10 1139493426
Year 2010-11-04
Pages 594
Language en
Publisher Cambridge University Press
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The first MATLAB-based numerical methods textbook for bioengineers that uniquely integrates modelling concepts with statistical analysis, while maintaining a focus on enabling the user to report the error or uncertainty in their result. Between traditional numerical method topics of linear modelling concepts, nonlinear root finding, and numerical integration, chapters on hypothesis testing, data regression and probability are interweaved. A unique feature of the book is the inclusion of examples from clinical trials and bioinformatics, which are not found in other numerical methods textbooks for engineers. With a wealth of biomedical engineering examples, case studies on topical biomedical research, and the inclusion of end of chapter problems, this is a perfect core text for a one-semester undergraduate course.

Statistical Methods for Financial Engineering

Statistical Methods for Financial Engineering Author Bruno Remillard
ISBN-10 9781439856956
Year 2016-04-19
Pages 496
Language en
Publisher CRC Press
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While many financial engineering books are available, the statistical aspects behind the implementation of stochastic models used in the field are often overlooked or restricted to a few well-known cases. Statistical Methods for Financial Engineering guides current and future practitioners on implementing the most useful stochastic models used in financial engineering. After introducing properties of univariate and multivariate models for asset dynamics as well as estimation techniques, the book discusses limits of the Black-Scholes model, statistical tests to verify some of its assumptions, and the challenges of dynamic hedging in discrete time. It then covers the estimation of risk and performance measures, the foundations of spot interest rate modeling, Lévy processes and their financial applications, the properties and parameter estimation of GARCH models, and the importance of dependence models in hedge fund replication and other applications. It concludes with the topic of filtering and its financial applications. This self-contained book offers a basic presentation of stochastic models and addresses issues related to their implementation in the financial industry. Each chapter introduces powerful and practical statistical tools necessary to implement the models. The author not only shows how to estimate parameters efficiently, but he also demonstrates, whenever possible, how to test the validity of the proposed models. Throughout the text, examples using MATLAB® illustrate the application of the techniques to solve real-world financial problems. MATLAB and R programs are available on the author’s website.

Statistical Techniques for Project Control

Statistical Techniques for Project Control Author Adedeji B. Badiru
ISBN-10 9781420083170
Year 2012-01-18
Pages 412
Language en
Publisher CRC Press
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Winner of the IIE Book of the Month for June 2012 A project can be simple or complex. In each case, proven project management processes must be followed. In all cases of project management implementation, control must be exercised in order to assure that project objectives are achieved. Statistical Techniques for Project Control seamlessly integrates qualitative and quantitative tools and techniques for project control. It fills the void that exists in the application of statistical techniques to project control. The book begins by defining the fundamentals of project management then explores how to temper quantitative analysis with qualitative human judgment that makes project control nebulous but also offers opportunities to innovate and be creative in achieving control. The authors then discuss the three factors (time, budget, and performance) that form the basis of the operating characteristics of a project that also help determine the basis for project control. They then focus on computational network techniques for project schedule (time) control. Although designed as a practical guide for project management professionals, the book also appeals to students, researchers, and instructors.

Statistical Quality Assurance Methods for Engineers

Statistical Quality Assurance Methods for Engineers Author Stephen B. Vardeman
ISBN-10 0471159379
Year 1999
Pages 561
Language en
Publisher John Wiley & Sons Incorporated
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The Tools You Need To Be A Successful Engineer As you read through this new text, you'll discover the importance of Statistical Quality Control (SQC) tools in engineering process monitoring and improvement. You'll learn what SQC methods can and cannot do, and why these are valuable additions to your engineering tool kit. And instead of overwhelming you with unnecessary details, the authors make the implementation of statistical tools "user-friendly." The rich set of examples and problems integrated throughout this book will help you gain a better understanding of where and how to apply SQC tools. Real projects, cases and data sets show you clearly how SQC tools are used in practice. Topics are covered in the right amount of detail to give you insight into their relative importance in modern quality assurance and the ability to immediately use them. This approach provides the mix of tools you'll need to succeed in your engineering career. Key Features of the Text * Provides a coherent presentation of the role of statistics in quality assurance. * Places special attention on making sure that while the technical details are absolutely correct, they do not overwhelm the reader. * Presents the material in realistic contexts, with examples and problems that are based on real-world projects, cases and data sets. * The implementation of statistical tools is user-friendly. * The statistical treatment emphasizes graphics and estimation (and de-emphasizes hypothesis testing).