Probability Concepts in Engineering Planning and D Esign Volume 2DECISION Risk and Probability

Probability Concepts in Engineering Planning and D Esign Volume 2DECISION Risk and Probability
Author: Ang
Publsiher: Unknown
Total Pages: 562
Release: 1984-01-01
Genre: Electronic Book
ISBN: 0471805335

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Probability Concepts in Engineering Planning and Design Decision risk and reliability

Probability Concepts in Engineering Planning and Design  Decision  risk and reliability
Author: Alfredo Hua-Sing Ang,Wilson H. Tang
Publsiher: Unknown
Total Pages: 135
Release: 1975
Genre: Engineering
ISBN: UOM:39015049112892

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Probability Concepts in Engineering Emphasis on Applications to Civil and Environmental Engineering 2e Instructor Site

Probability Concepts in Engineering  Emphasis on Applications to Civil and Environmental Engineering  2e Instructor Site
Author: Alfredo H-S. Ang,Wilson H. Tang
Publsiher: John Wiley & Sons Incorporated
Total Pages: 406
Release: 2007
Genre: Technology & Engineering
ISBN: UOM:39076002786353

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Apply the principles of probability and statistics to realistic engineering problems The easiest and most effective way to learn the principles of probabilistic modeling and statistical inference is to apply those principles to a variety of applications. That’s why Ang and Tang’s Second Edition of Probability Concepts in Engineering (previously titled Probability Concepts in Engineering Planning and Design) explains concepts and methods using a wide range of problems related to engineering and the physical sciences, particularly civil and environmental engineering. Now extensively revised with new illustrative problems and new and expanded topics, this Second Edition will help you develop a thorough understanding of probability and statistics and the ability to formulate and solve real-world problems in engineering. The authors present each basic principle using different examples, and give you the opportunity to enhance your understanding with practice problems. The text is ideally suited for students, as well as those wishing to learn and apply the principles and tools of statistics and probability through self-study. Key Features in this 2nd Edition: A new chapter (Chapter 5) covers Computer-Based Numerical and Simulation Methods in Probability, to extend and expand the analytical methods to more complex engineering problems. New and expanded coverage includes distribution of extreme values (Chapter 3), the Anderson-Darling method for goodness-of-fit test (Chapter 6), hypothesis testing (Chapter 6), the determination of confidence intervals in linear regression (Chapter 8), and Bayesian regression and correlation analyses (Chapter 9). Many new exercise problems in each chapter help you develop a working knowledge of concepts and methods. Provides a wide variety of examples, including many new to this edition, to help you learn and understand specific concepts. Illustrates the formulation and solution of engineering-type probabilistic problems through computer-based methods, including developing computer codes using commercial software such as MATLAB and MATHCAD. Introduces and develops analytical probabilistic models and shows how to formulate engineering problems under uncertainty, and provides the fundamentals for quantitative risk assessment.

Probability Concepts in Engineering Planning and Design Basic Principles

Probability Concepts in Engineering Planning and Design  Basic Principles
Author: Alfredo H-S. Ang,Wilson H. Tang,Ang
Publsiher: John Wiley & Sons Incorporated
Total Pages: 409
Release: 1975-08-04
Genre: Technology & Engineering
ISBN: UOM:39015000985104

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Statistics and Probability for Engineering Applications

Statistics and Probability for Engineering Applications
Author: William DeCoursey
Publsiher: Elsevier
Total Pages: 396
Release: 2003-05-14
Genre: Mathematics
ISBN: 9780080489759

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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

Handbook of Probabilistic Models

Handbook of Probabilistic Models
Author: Pijush Samui,Dieu Tien Bui,Subrata Chakraborty,Ravinesh C. Deo
Publsiher: Butterworth-Heinemann
Total Pages: 590
Release: 2019-10-05
Genre: Computers
ISBN: 9780128165461

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Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive handbook, practitioners, researchers and scientists will find detailed explanations of technical concepts, applications of the proposed methods, and the respective scientific approaches needed to solve the problem. This book provides an interdisciplinary approach that creates advanced probabilistic models for engineering fields, ranging from conventional fields of mechanical engineering and civil engineering, to electronics, electrical, earth sciences, climate, agriculture, water resource, mathematical sciences and computer sciences. Specific topics covered include minimax probability machine regression, stochastic finite element method, relevance vector machine, logistic regression, Monte Carlo simulations, random matrix, Gaussian process regression, Kalman filter, stochastic optimization, maximum likelihood, Bayesian inference, Bayesian update, kriging, copula-statistical models, and more. Explains the application of advanced probabilistic models encompassing multidisciplinary research Applies probabilistic modeling to emerging areas in engineering Provides an interdisciplinary approach to probabilistic models and their applications, thus solving a wide range of practical problems

Probability with Applications in Engineering Science and Technology

Probability with Applications in Engineering  Science  and Technology
Author: Matthew A. Carlton,Jay L. Devore
Publsiher: Springer
Total Pages: 610
Release: 2017-03-30
Genre: Mathematics
ISBN: 9783319524016

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This updated and revised first-course textbook in applied probability provides a contemporary and lively post-calculus introduction to the subject of probability. The exposition reflects a desirable balance between fundamental theory and many applications involving a broad range of real problem scenarios. It is intended to appeal to a wide audience, including mathematics and statistics majors, prospective engineers and scientists, and those business and social science majors interested in the quantitative aspects of their disciplines. The textbook contains enough material for a year-long course, though many instructors will use it for a single term (one semester or one quarter). As such, three course syllabi with expanded course outlines are now available for download on the book’s page on the Springer website. A one-term course would cover material in the core chapters (1-4), supplemented by selections from one or more of the remaining chapters on statistical inference (Ch. 5), Markov chains (Ch. 6), stochastic processes (Ch. 7), and signal processing (Ch. 8—available exclusively online and specifically designed for electrical and computer engineers, making the book suitable for a one-term class on random signals and noise). For a year-long course, core chapters (1-4) are accessible to those who have taken a year of univariate differential and integral calculus; matrix algebra, multivariate calculus, and engineering mathematics are needed for the latter, more advanced chapters. At the heart of the textbook’s pedagogy are 1,100 applied exercises, ranging from straightforward to reasonably challenging, roughly 700 exercises in the first four “core” chapters alone—a self-contained textbook of problems introducing basic theoretical knowledge necessary for solving problems and illustrating how to solve the problems at hand – in R and MATLAB, including code so that students can create simulations. New to this edition • Updated and re-worked Recommended Coverage for instructors, detailing which courses should use the textbook and how to utilize different sections for various objectives and time constraints • Extended and revised instructions and solutions to problem sets • Overhaul of Section 7.7 on continuous-time Markov chains • Supplementary materials include three sample syllabi and updated solutions manuals for both instructors and students

Probability Foundations for Engineers

Probability Foundations for Engineers
Author: Joel A. Nachlas
Publsiher: CRC Press
Total Pages: 184
Release: 2012-05-09
Genre: Business & Economics
ISBN: 9781466502994

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Suitable for a first course in probability theory and designed specifically for industrial engineering and operations management students, Probability Foundations for Engineers covers theory in an accessible manner and includes numerous practical examples based on engineering applications. Essentially, everyone understands and deals with probability every day in their normal lives. Nevertheless, for some reason, when engineering students who have good math skills are presented with the mathematics of probability theory, there is a disconnect somewhere. The book begins with a summary of set theory and then introduces probability and its axioms. The author has carefully avoided a theorem-proof type of presentation. He includes all of the theory but presents it in a conversational rather than formal manner, while relying on the assumption that undergraduate engineering students have a solid mastery of calculus. He explains mathematical theory by demonstrating how it is used with examples based on engineering applications. An important aspect of the text is the fact that examples are not presented in terms of "balls in urns". Many examples relate to gambling with coins, dice and cards but most are based on observable physical phenomena familiar to engineering students.

Probability Concepts in Electric Power Systems

Probability Concepts in Electric Power Systems
Author: George J. Anders
Publsiher: Wiley-Interscience
Total Pages: 682
Release: 1990-01-25
Genre: Technology & Engineering
ISBN: UCAL:B4590327

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Modern Power System Analysis Turan Gönen The first book on electrical power systems to deal exclusively with the design, structure, and analysis of the transmission system itself. Serves as a self-study guide or as a classroom text and describes, step-by-step, all the tools and procedures needed to analyze today’s electrical power systems. It covers power system planning, steady-state performance of transmission lines, disturbance of the normal operating conditions and other problems, as well as symmetrical components and sequence impedances. The book also analyzes balanced and unbalanced faults, land flow, and system protection, detailing criteria for protective systems and several types of relays. 1988 (0 471-85903-6) 560 pp. Least-Cost Electric Utility Planning Harry G. Stoll Presents all the key elements and tools necessary to plan and operate efficient electric utility power systems. Its seven sections address: economics, finance, and regulation; industrial power economics; load demand and management; reliability of the generation system; cost of production in the generation system; capacity planning; and transmission planning. Each section addresses power system theory and principles and applies them to realistic utility examples. Results from solved examples are expanded to illustrate the sensitivity and direction of key parameters. 1989 (0 471-63614-2) 782 pp.

Risk Analysis of Water Pollution

Risk Analysis of Water Pollution
Author: Jacques Ganoulis
Publsiher: John Wiley & Sons
Total Pages: 327
Release: 2009-07-14
Genre: Science
ISBN: 9783527626670

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This new edition of a classic text has now been extensively updated to include the latest developments in risk analysis and water quality assessment and management. It takes into account the role of ecological water quality in integrated regional and transboundary water resources management, according to the latest UNESCO programmes and the new EU-Water Framework Directive. This practice-oriented textbook is a unique tool for identifying and evaluating local and regional environmental risks from pollution hazards in groundwater, river water and coastal seawaters. The book explains different risk-based probabilistic methodologies and fuzzy logic-based approaches and includes various mathematical models for water quality simulation and theories, such as the decision analysis, the utility theory and the integrated risk-based multi-criteria assessment and management, in order to thoroughly evaluate several case studies from the real world. Questions testing the reader?s understanding are given at the end of each chapter, and a useful appendix provides hints for answering them as well the solutions themselves.

Reliability Based Design in Geotechnical Engineering

Reliability Based Design in Geotechnical Engineering
Author: Kok-Kwang Phoon
Publsiher: CRC Press
Total Pages: 532
Release: 2008-04-25
Genre: Technology & Engineering
ISBN: 9780203934241

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Reliability-based design is the only engineering methodology currently available which can ensure self-consistency in both physical and probabilistic terms. It is also uniquely compatible with the theoretical basis underlying other disciplines such as structural design. It is especially relevant as geotechnical design becomes subject to increasing codification and to code harmonization across national boundaries and material types. Already some codes of practice describe the principles and requirements for safety, serviceability, and durability of structures in reliability terms. This book presents practical computational methods in concrete steps that can be followed by practitioners and students. It also provides geotechnical examples illustrating reliability analysis and design. It aims to encourage geotechnical engineers to apply reliability-based design in a realistic context that recognises the complex variabilities in geomaterials and model uncertainties arising from a profession steeped in empiricism. By focusing on learning through computations and examples, this book serves as a valuable reference for engineers and a resource for students.

Design Decisions under Uncertainty with Limited Information

Design Decisions under Uncertainty with Limited Information
Author: Efstratios Nikolaidis,Zissimos P. Mourelatos,Vijitashwa Pandey
Publsiher: CRC Press
Total Pages: 538
Release: 2011-02-18
Genre: Technology & Engineering
ISBN: 9780415492478

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Today's business environment involves design decisions with significant uncertainty. To succeed, decision-makers should replace deterministic methods with a risk-based approach that accounts for the decision maker’s risk tolerance. In many problems, it is impractical to collect data because rare or one-time events are involved. Therefore, we need a methodology to model uncertainty and make choices when we have limited information. This methodology must use all available information and rely only on assumptions that are supported by evidence. This book explains theories and tools to represent uncertainty using both data and expert judgment. It teaches the reader how to make design or business decisions when there is limited information with these tools. Readers will learn a structured, risk-based approach, which is based on common sense principles, for design and business decisions. These decisions are consistent with the decision-maker’s risk attitude. The book is exceptionally suited as educational material because it uses everyday language and real-life examples to elucidate concepts. It demonstrates how these concepts touch our lives through many practical examples, questions and exercises. These are designed to help students learn that first they should understand a problem and then establish a strategy for solving it, instead of using trial-and-error approaches. This volume is intended for undergraduate and graduate courses in mechanical, civil, industrial, aerospace, and ocean engineering and for researchers and professionals in these disciplines. It will also benefit managers and students in business administration who want to make good decisions with limited information.

Probabilistic Methods in Geotechnical Engineering

Probabilistic Methods in Geotechnical Engineering
Author: K.S. Li,S.-C.R. Lo
Publsiher: CRC Press
Total Pages: 344
Release: 2020-08-19
Genre: Technology & Engineering
ISBN: 9781000099775

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The proceedings of this conference contain keynote addresses on recent developments in geotechnical reliability and limit state design in geotechnics. It also contains invited lectures on such topics as modelling of soil variability, simulation of random fields and probability of rock joints. Contents: Keynote addresses on recent development on geotechnical reliability and limit state design in geotechnics, and invited lectures on modelling of soil variability, simulation of random field, probabilistic of rock joints, and probabilistic design of foundations and slopes. Other papers on analytical techniques in geotechnical reliability, modelling of soil properties, and probabilistic analysis of slopes, embankments and foundations.

Safety of Dams

Safety of Dams
Author: National Research Council,Division on Engineering and Physical Sciences,Commission on Engineering and Technical Systems,Water Science and Technology Board,Committee on Safety Criteria for Dams
Publsiher: National Academies Press
Total Pages: 294
Release: 1985-02-01
Genre: Science
ISBN: 9780309035323

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From earth tectonics and meteorology to risk, responsibility, and the role of government, this comprehensive and detailed book reviews current practices in designing dams to withstand extreme hydrologic and seismic events. Recommendations for action and for further research to improve dam safety evaluations are presented.

Geohazards Caused by Human Activity

Geohazards Caused by Human Activity
Author: Arvin Farid
Publsiher: BoD – Books on Demand
Total Pages: 152
Release: 2016-11-30
Genre: Technology & Engineering
ISBN: 9789535128014

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This book is based on the contributions of several authors and attempts to describe the roles human activities play in causing geohazards either directly or indirectly through man-made climate change. The risk of these man-made geohazards and the risk assessment are also discussed in this book. Each chapter keeps the authors' notations that vary from chapter to chapter. These authors' notations have been maintained to reduce unintended confusion and errors. Readers should be aware of this variation.