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Author: N. T. Kottegoda Publisher: McGraw-Hill Science, Engineering & Mathematics ISBN: 9780070359659 Category : Civil engineering Languages : en Pages : 0
Book Description
Covers preliminary data analysis, probability concepts and distributions, properties of random variables, model estimation and testing, regression and multivariate analysis, frequency analysis of extreme events, simulation techniques for design, risk and reliability analysis, Bayesian decision methods and parameter uncertainty, and additional mathematics. Annotation copyrighted by Book News, Inc., Portland, OR
Author: N. T. Kottegoda Publisher: McGraw-Hill Science, Engineering & Mathematics ISBN: 9780070359659 Category : Civil engineering Languages : en Pages : 0
Book Description
Covers preliminary data analysis, probability concepts and distributions, properties of random variables, model estimation and testing, regression and multivariate analysis, frequency analysis of extreme events, simulation techniques for design, risk and reliability analysis, Bayesian decision methods and parameter uncertainty, and additional mathematics. Annotation copyrighted by Book News, Inc., Portland, OR
Author: Vijay P. Singh Publisher: Amer Society of Civil Engineers ISBN: 9780784408919 Category : Technology & Engineering Languages : en Pages : 785
Book Description
Singh, Jain, and Tyagi present the key concepts of risk and reliability that apply to a wide array of problems in civil and environmental engineering.
Author: Achintya Haldar Publisher: ISBN: Category : Mathematics Languages : en Pages : 328
Book Description
Text for a one-term course on Probability and Statistics intended primarily for civil engineering majors. Most often taught out of the Civil Engineering Department. Covers the key concepts and statistical techniques for assessing the reliability of structures and the risk factors in their design.
Author: Bilal M. Ayyub Publisher: CRC Press ISBN: 1439895333 Category : Business & Economics Languages : en Pages : 663
Book Description
In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world p
Author: Thendiyath Roshni Publisher: Elsevier ISBN: 0323856993 Category : Technology & Engineering Languages : en Pages : 554
Book Description
Risk, Reliability and Sustainable Remediation in the Field of Civil and Environmental Engineering illustrates the concepts of risk, reliability analysis, its estimation, and the decisions leading to sustainable development in the field of civil and environmental engineering. The book provides key ideas on risks in performance failure and structural failures of all processes involved in civil and environmental systems, evaluates reliability, and discusses the implications of measurable indicators of sustainability in important aspects of multitude of civil engineering projects. It will help practitioners become familiar with tolerances in design parameters, uncertainties in the environment, and applications in civil and environmental systems. Furthermore, the book emphasizes the importance of risks involved in design and planning stages and covers reliability techniques to discover and remove the potential failures to achieve a sustainable development. Contains relevant theory and practice related to risk, reliability and sustainability in the field of civil and environment engineering Gives firsthand experience of new tools to integrate existing artificial intelligence models with large information obtained from different sources Provides engineering solutions that have a positive impact on sustainability
Author: N. T. Kottegoda Publisher: Wiley-Blackwell ISBN: 9781405179171 Category : Technology & Engineering Languages : en Pages : 736
Book Description
Civil and environmental engineers need an understanding of mathematical statistics and probability theory to deal with the variability that affects engineers' structures, soil pressures, river flows and the like. Students, too, need to get to grips with these rather difficult concepts. This book, written by engineers for engineers, tackles the subject in a clear, up-to-date manner using a process-orientated approach. It introduces the subjects of mathematical statistics and probability theory, and then addresses model estimation and testing, regression and multivariate methods, analysis of extreme events, simulation techniques, risk and reliability, and economic decision making. 325 examples and case studies from European and American practice are included and each chapter features realistic problems to be solved. For the second edition new sections have been added on Monte Carlo Markov chain modeling with details of practical Gibbs sampling, sensitivity analysis and aleatory and epistemic uncertainties, and copulas. Throughout, the text has been revised and modernized.
Author: Robb Eric S. Moss Publisher: Springer ISBN: 3030226808 Category : Technology & Engineering Languages : en Pages : 180
Book Description
This updated edition retains its introduction to applied fundamental statistics, probability, reliability, and decision theory as these pertain to problems in Civil Engineering. The new edition adds an expanded treatment of systems reliability, Bayesian methods, and spatial variabililty, along with additional example problems throughout. The book provides readers with the tools needed to determine the probability of failure, and when multiplied by the consequences of failure, illustrates how to assess the risk of civil engineering problems. Presenting methods for quantifying uncertainty that exists in engineering analysis and design, with an emphasis on fostering more accurate analysis and design, the text is ideal for students and practitioners of a range of civil engineering disciplines. Expands on the class-tested pedagogy from the first edition with more material and more examples; Broadens understanding with simulations coded both in Matlab and in R; Features new chapters on spatial variability and Bayesian methods; Emphasizes techniques for estimating the influence of uncertainty on the probability of failure
Author: Jack R Benjamin Publisher: Courier Corporation ISBN: 0486780724 Category : Mathematics Languages : en Pages : 704
Book Description
"This text covers the development of decision theory and related applications of probability. Extensive examples and illustrations cultivate students' appreciation for applications, including strength of materials, soil mechanics, construction planning, and water-resource design. Emphasis on fundamentals makes the material accessible to students trained in classical statistics and provides a brief introduction to probability. 1970 edition"--
Author: William DeCoursey Publisher: Elsevier ISBN: 0080489753 Category : Mathematics Languages : en Pages : 396
Book Description
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
Author: N. T. Kottegoda
Author: N. T. Kottegoda
Author: Nathabandu T. Kottegoda
Author: Vijay P. Singh
Author: Achintya Haldar
Author: Bilal M. Ayyub
Author: Thendiyath Roshni
Author: N. T. Kottegoda
Author: Robb Eric S. Moss
Author: Jack R Benjamin
Author: William DeCoursey