Statistical Techniques for Transportation Engineering

Filename: statistical-techniques-for-transportation-engineering.pdf
ISBN: 9780128116425
Release Date: 2017-03-03
Number of pages: 554
Author: Kumar Molugaram
Publisher: Butterworth-Heinemann

Download and read online Statistical Techniques for Transportation Engineering in PDF and EPUB 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

Filename: statistical-and-econometric-methods-for-transportation-data-analysis-second-edition.pdf
ISBN: 9781420082869
Release Date: 2010-12-02
Number of pages: 544
Author: Simon P. Washington
Publisher: CRC Press

Download and read online Statistical and Econometric Methods for Transportation Data Analysis Second Edition in PDF and EPUB 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.

Statistics in Civil Engineering

Filename: statistics-in-civil-engineering.pdf
ISBN: 0471194840
Release Date: 1997
Number of pages: 420
Author: Andrew V. Metcalfe
Publisher: John Wiley & Sons

Download and read online Statistics in Civil Engineering in PDF and EPUB 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.

Transportation Statistics and Microsimulation

Filename: transportation-statistics-and-microsimulation.pdf
ISBN: 9781439894545
Release Date: 2016-04-19
Number of pages: 384
Author: Clifford Spiegelman
Publisher: CRC Press

Download and read online Transportation Statistics and Microsimulation in PDF and EPUB 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

Filename: traffic-engineering-handbook.pdf
ISBN: 9781118762264
Release Date: 2016-01-19
Number of pages: 688
Author: ITE (Institute of Transportation Engineers)
Publisher: John Wiley & Sons

Download and read online Traffic Engineering Handbook in PDF and EPUB Get a complete look into modern traffic engineering solutions Traffic Engineering Handbook, Seventh Edition is a newly revised text that builds upon the reputation as the go-to source of essential traffic engineering solutions that this book has maintained for the past 70 years. The updated content reflects changes in key industry standards, and shines a spotlight on the needs of all users, the design of context-sensitive roadways, and the development of more sustainable transportation solutions. Additionally, this resource features a new organizational structure that promotes a more functionally-driven, multimodal approach to planning, designing, and implementing transportation solutions. A branch of civil engineering, traffic engineering concerns the safe and efficient movement of people and goods along roadways. Traffic flow, road geometry, sidewalks, crosswalks, cycle facilities, shared lane markings, traffic signs, traffic lights, and more—all of these elements must be considered when designing public and private sector transportation solutions. Explore the fundamental concepts of traffic engineering as they relate to operation, design, and management Access updated content that reflects changes in key industry-leading resources, such as the Highway Capacity Manual (HCM), Manual on Uniform Traffic Control Devices (MUTCD), AASSHTO Policy on Geometric Design, Highway Safety Manual (HSM), and Americans with Disabilities Act Understand the current state of the traffic engineering field Leverage revised information that homes in on the key topics most relevant to traffic engineering in today's world, such as context-sensitive roadways and sustainable transportation solutions Traffic Engineering Handbook, Seventh Edition is an essential text for public and private sector transportation practitioners, transportation decision makers, public officials, and even upper-level undergraduate and graduate students who are studying transportation engineering.

Statistical Techniques for High voltage Engineering

Filename: statistical-techniques-for-high-voltage-engineering.pdf
ISBN: 086341205X
Release Date: 1992-01
Number of pages: 310
Author: Wolfgang Hauschild
Publisher: IET

Download and read online Statistical Techniques for High voltage Engineering in PDF and EPUB 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.

Statistical Methods for QTL Mapping

Filename: statistical-methods-for-qtl-mapping.pdf
ISBN: 9780415669863
Release Date: 2013-11-01
Number of pages: 308
Author: Zehua Chen
Publisher: CRC Press

Download and read online Statistical Methods for QTL Mapping in PDF and EPUB While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent statistical techniques that address the data complexity of QTL mapping. After introducing basic genetics topics and statistical principles, the author discusses the principles of quantitative genetics, general statistical issues of QTL mapping, commonly used one-dimensional QTL mapping approaches, and multiple interval mapping methods. He then explains how to use a feature selection approach to tackle a QTL mapping problem with dense markers. The book also provides comprehensive coverage of Bayesian models and MCMC algorithms and describes methods for multi-trait QTL mapping and eQTL mapping, including meta-trait methods and multivariate sequential procedures. This book emphasizes the modern statistical methodology for QTL mapping as well as the statistical issues that arise during this process. It gives the necessary biological background for statisticians without training in genetics and, likewise, covers statistical thinking and principles for geneticists. Written primarily for geneticists and statisticians specializing in QTL mapping, the book can also be used as a supplement in graduate courses or for self-study by PhD students working on QTL mapping projects.

Statistics and Probability for Engineering Applications

Filename: statistics-and-probability-for-engineering-applications.pdf
ISBN: 9780080489759
Release Date: 2003-05-14
Number of pages: 396
Author: William DeCoursey
Publisher: Elsevier

Download and read online Statistics and Probability for Engineering Applications in PDF and EPUB 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

Applied Statistics and Probability for Engineers

Filename: applied-statistics-and-probability-for-engineers.pdf
ISBN: 9780470053041
Release Date: 2010-03-22
Number of pages: 784
Author: Douglas C. Montgomery
Publisher: John Wiley & Sons

Download and read online Applied Statistics and Probability for Engineers in PDF and EPUB 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 Methods for Financial Engineering

Filename: statistical-methods-for-financial-engineering.pdf
ISBN: 9781439856956
Release Date: 2016-04-19
Number of pages: 496
Author: Bruno Remillard
Publisher: CRC Press

Download and read online Statistical Methods for Financial Engineering in PDF and EPUB 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.

Understanding Mathematical and Statistical Techniques in Hydrology

Filename: understanding-mathematical-and-statistical-techniques-in-hydrology.pdf
ISBN: 9781119076605
Release Date: 2015-11-02
Number of pages: 104
Author: Harvey J. E. Rodda
Publisher: John Wiley & Sons

Download and read online Understanding Mathematical and Statistical Techniques in Hydrology in PDF and EPUB Pick up any hydrology textbook and it will not be long before you encounter pages listing sequences of equations representing complex mathematical concepts. Students and practitioners of hydrology will not find this very helpful, as their aim, generally, is to study and understand hydrology, and not to find themselves confronted with material that even students of mathematics would find challenging. Often, equations appear to be copied and pasted into hydrological texts in an attempt to give a more rigorous scientific basis to the narrative. However, they are commonly wrong, poorly explained, without context or background, and more likely to confuse and distance the reader than to enlighten and engage them in the topic. Understanding Mathematical and Statistical Techniques in Hydrology provides full and detailed expositions of such equations and mathematical concepts, commonly used in hydrology. In contrast to other hydrological texts, instead of presenting abstract mathematical hydrology, the essential mathematics is explained with the help of real-world hydrological examples.

Statistical Quality Assurance Methods for Engineers

Filename: statistical-quality-assurance-methods-for-engineers.pdf
ISBN: 0471159379
Release Date: 1999
Number of pages: 561
Author: Stephen B. Vardeman
Publisher: John Wiley & Sons Incorporated

Download and read online Statistical Quality Assurance Methods for Engineers in PDF and EPUB 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).

Numerical and Statistical Methods for CIVIL ENGINEERING GTU 2016

Filename: numerical-and-statistical-methods-for-civil-engineering-gtu-2016.pdf
ISBN: 9789339224738
Release Date:
Number of pages:
Author: Ravish R Singh
Publisher: McGraw-Hill Education

Download and read online Numerical and Statistical Methods for CIVIL ENGINEERING GTU 2016 in PDF and EPUB 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

Spatial Analysis

Filename: spatial-analysis.pdf
ISBN: 9781498707640
Release Date: 2015-07-28
Number of pages: 323
Author: Tonny J. Oyana
Publisher: CRC Press

Download and read online Spatial Analysis in PDF and EPUB An introductory text for the next generation of geospatial analysts and data scientists, Spatial Analysis: Statistics, Visualization, and Computational Methods focuses on the fundamentals of spatial analysis using traditional, contemporary, and computational methods. Outlining both non-spatial and spatial statistical concepts, the authors present practical applications of geospatial data tools, techniques, and strategies in geographic studies. They offer a problem-based learning (PBL) approach to spatial analysis—containing hands-on problem-sets that can be worked out in MS Excel or ArcGIS—as well as detailed illustrations and numerous case studies. The book enables readers to: Identify types and characterize non-spatial and spatial data Demonstrate their competence to explore, visualize, summarize, analyze, optimize, and clearly present statistical data and results Construct testable hypotheses that require inferential statistical analysis Process spatial data, extract explanatory variables, conduct statistical tests, and explain results Understand and interpret spatial data summaries and statistical tests Spatial Analysis: Statistics, Visualization, and Computational Methods incorporates traditional statistical methods, spatial statistics, visualization, and computational methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis. Topics covered include: spatial descriptive methods, hypothesis testing, spatial regression, hot spot analysis, geostatistics, spatial modeling, and data science.

System Reliability Theory

Filename: system-reliability-theory.pdf
ISBN: 9780470317747
Release Date: 2009-09-25
Number of pages: 536
Author: Arnljot H?yland
Publisher: John Wiley & Sons

Download and read online System Reliability Theory in PDF and EPUB A comprehensive introduction to reliability analysis. The first section provides a thorough but elementary prologue to reliability theory. The latter half comprises more advanced analytical tools including Markov processes, renewal theory, life data analysis, accelerated life testing and Bayesian reliability analysis. Features numerous worked examples. Each chapter concludes with a selection of problems plus additional material on applications.