Applications in Reliability and Statistical Computing

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Publisher :
ISBN 13 : 9783031212338
Total Pages : 0 pages
Book Rating : 4.2/5 (123 download)

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Book Synopsis Applications in Reliability and Statistical Computing by : Hoang Pham

Download or read book Applications in Reliability and Statistical Computing written by Hoang Pham and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using machine learning, artificial intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover both methods and practical aspects on reliability or statistical computations with emphasis on applications. 5G and IoT are set to generate an estimated 1 billion terabytes of data by 2025 and companies continue to search for new techniques and tools that can help them practice data collection effectively in promoting their business. This book explores the era of big data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry. Including numerous illustrations and worked examples, the book is of interest to researchers, practicing engineers, and postgraduate students in the fields of reliability engineering, statistical computing, and machine learning.

Reliability and Statistical Computing

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ISBN 13 : 9783030434137
Total Pages : 325 pages
Book Rating : 4.4/5 (341 download)

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Book Synopsis Reliability and Statistical Computing by :

Download or read book Reliability and Statistical Computing written by and published by . This book was released on 2020 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest developments in both qualitative and quantitative computational methods for reliability and statistics, as well as their applications. Consisting of contributions from active researchers and experienced practitioners in the field, it fills the gap between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18 chapters. It covers (1) modeling in and methods for reliability computing, with chapters dedicated to predicted reliability modeling, optimal maintenance models, and mechanical reliability and safety analysis; (2) statistical computing methods, including machine learning techniques and deep learning approaches for sentiment analysis and recommendation systems; and (3) applications and case studies, such as modeling innovation paths of European firms, aircraft components, bus safety analysis, performance prediction in textile finishing processes, and movie recommendation systems. Given its scope, the book will appeal to postgraduates, researchers, professors, scientists, and practitioners in a range of fields, including reliability engineering and management, maintenance engineering, quality management, statistics, computer science and engineering, mechanical engineering, business analytics, and data science.

Reliability and Statistical Computing

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Publisher : Springer Nature
ISBN 13 : 3030434125
Total Pages : 325 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Reliability and Statistical Computing by : Hoang Pham

Download or read book Reliability and Statistical Computing written by Hoang Pham and published by Springer Nature. This book was released on 2020-03-28 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest developments in both qualitative and quantitative computational methods for reliability and statistics, as well as their applications. Consisting of contributions from active researchers and experienced practitioners in the field, it fills the gap between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18 chapters. It covers (1) modeling in and methods for reliability computing, with chapters dedicated to predicted reliability modeling, optimal maintenance models, and mechanical reliability and safety analysis; (2) statistical computing methods, including machine learning techniques and deep learning approaches for sentiment analysis and recommendation systems; and (3) applications and case studies, such as modeling innovation paths of European firms, aircraft components, bus safety analysis, performance prediction in textile finishing processes, and movie recommendation systems. Given its scope, the book will appeal to postgraduates, researchers, professors, scientists, and practitioners in a range of fields, including reliability engineering and management, maintenance engineering, quality management, statistics, computer science and engineering, mechanical engineering, business analytics, and data science.

Applications in Reliability and Statistical Computing

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Publisher : Springer Nature
ISBN 13 : 3031212320
Total Pages : 310 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Applications in Reliability and Statistical Computing by : Hoang Pham

Download or read book Applications in Reliability and Statistical Computing written by Hoang Pham and published by Springer Nature. This book was released on 2023-02-15 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using machine learning, artificial intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover both methods and practical aspects on reliability or statistical computations with emphasis on applications. 5G and IoT are set to generate an estimated 1 billion terabytes of data by 2025 and companies continue to search for new techniques and tools that can help them practice data collection effectively in promoting their business. This book explores the era of big data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry. Including numerous illustrations and worked examples, the book is of interest to researchers, practicing engineers, and postgraduate students in the fields of reliability engineering, statistical computing, and machine learning.

Probability and Statistics with Reliability, Queuing, and Computer Science Applications

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Publisher : John Wiley & Sons
ISBN 13 : 1119314208
Total Pages : 880 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Probability and Statistics with Reliability, Queuing, and Computer Science Applications by : Kishor S. Trivedi

Download or read book Probability and Statistics with Reliability, Queuing, and Computer Science Applications written by Kishor S. Trivedi and published by John Wiley & Sons. This book was released on 2016-06-30 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications Second edition now also available in Paperback. This updated and revised edition of the popular classic first edition relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault tolerance, and performance. This edition features an entirely new section on stochastic Petri nets—as well as new sections on system availability modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects. Extensive revisions take new developments in solution techniques and applications into account and bring this work totally up to date. It includes more than 200 worked examples and self-study exercises for each section. Probability and Statistics with Reliability, Queuing and Computer Science Applications, Second Edition offers a comprehensive introduction to probability, stochastic processes, and statistics for students of computer science, electrical and computer engineering, and applied mathematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Statistical Methods for Reliability Data

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Publisher : John Wiley & Sons
ISBN 13 : 1118594487
Total Pages : 708 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Statistical Methods for Reliability Data by : William Q. Meeker

Download or read book Statistical Methods for Reliability Data written by William Q. Meeker and published by John Wiley & Sons. This book was released on 2022-01-24 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative guide to the most recent advances in statistical methods for quantifying reliability Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long- established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. SMRD2 illustrates methods with numerous applications and all the data sets are available on the book’s website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook. The SMRD2's website contains valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about commercial software for reliability data analysis, and csv files for the 93 data sets used in the book's examples and exercises. The importance of statistical methods in the area of engineering reliability continues to grow and SMRD2 offers an updated guide for, exploring, modeling, and drawing conclusions from reliability data. SMRD2 features: Contains a wealth of information on modern methods and techniques for reliability data analysis Offers discussions on the practical problem-solving power of various Bayesian inference methods Provides examples of Bayesian data analysis performed using the R interface to the Stan system based on Stan models that are available on the book's website Includes helpful technical-problem and data-analysis exercise sets at the end of every chapter Presents illustrative computer graphics that highlight data, results of analyses, and technical concepts Written for engineers and statisticians in industry and academia, Statistical Methods for Reliability Data, Second Edition offers an authoritative guide to this important topic.

Statistical Reliability Engineering

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Publisher : John Wiley & Sons
ISBN 13 : 9780471123569
Total Pages : 524 pages
Book Rating : 4.1/5 (235 download)

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Book Synopsis Statistical Reliability Engineering by : Boris Gnedenko

Download or read book Statistical Reliability Engineering written by Boris Gnedenko and published by John Wiley & Sons. This book was released on 1999-05-03 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Die Zuverlassigkeitsanalyse soll absichern, da? alle Komponenten eines Systems oder Produkts die Anforderungen an Funktionstuchtigkeit, -umfang und Budget erfullen. Alle wichtigen mathematischen Methoden, die in diesem Zusammenhang verwendet werden, stellt in diesem Buch einer der fuhrenden Spezialisten dieses Gebietes vor. Mit vielen realitatsnahen Beispielen und Fallstudien. (05/99)

Statistical Reliability Engineering

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ISBN 13 : 9783030769055
Total Pages : 0 pages
Book Rating : 4.7/5 (69 download)

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Book Synopsis Statistical Reliability Engineering by : Hoang Pham

Download or read book Statistical Reliability Engineering written by Hoang Pham and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author's recent research and publications as well as experience of over 30 years in this field. The book covers a wide range of methods and models in reliability, and their applications, including: statistical methods and model selection for machine learning; models for maintenance and software reliability; statistical reliability estimation of complex systems; and statistical reliability analysis of k out of n systems, standby systems and repairable systems. Offering numerous examples and solved problems within each chapter, this comprehensive text provides an introduction to reliability engineering graduate students, a reference for data scientists and reliability engineers, and a thorough guide for researchers and instructors in the field.

Mathematical and Statistical Models and Methods in Reliability

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Publisher : Springer Science & Business Media
ISBN 13 : 0817649719
Total Pages : 465 pages
Book Rating : 4.8/5 (176 download)

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Book Synopsis Mathematical and Statistical Models and Methods in Reliability by : V.V. Rykov

Download or read book Mathematical and Statistical Models and Methods in Reliability written by V.V. Rykov and published by Springer Science & Business Media. This book was released on 2010-11-02 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence.

Mathematical and Statistical Models and Methods in Reliability

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Author :
Publisher : Birkhäuser
ISBN 13 : 9780817649722
Total Pages : 457 pages
Book Rating : 4.6/5 (497 download)

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Book Synopsis Mathematical and Statistical Models and Methods in Reliability by : V.V. Rykov

Download or read book Mathematical and Statistical Models and Methods in Reliability written by V.V. Rykov and published by Birkhäuser. This book was released on 2011-03-04 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence.

PROBABILITY AND STATISTICS WITH RELIABILITY, QUEUING, AND COMPUTER SCIENCE APPLICATIONS

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Publisher : PHI Learning Pvt. Ltd.
ISBN 13 : 9788120305083
Total Pages : 646 pages
Book Rating : 4.3/5 (5 download)

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Book Synopsis PROBABILITY AND STATISTICS WITH RELIABILITY, QUEUING, AND COMPUTER SCIENCE APPLICATIONS by : KISHOR SHRIDHARBHAI TRIVEDI

Download or read book PROBABILITY AND STATISTICS WITH RELIABILITY, QUEUING, AND COMPUTER SCIENCE APPLICATIONS written by KISHOR SHRIDHARBHAI TRIVEDI and published by PHI Learning Pvt. Ltd.. This book was released on 1988-01-01 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to probability, stochastic processes, and statistics for students of computer science, electrical/computer engineering, reliability engineering and applied mathematics. It prepares the student for solving practical stochastic modelling problems, and for the more advanced courses on queuing or reliability theory. The text emphasizes on applications, illustrating each theoretical concept by solved examples relating to algorithm analysis or communication related problems.The prerequisites are a knowledge of calculus, a course on introduction to computer programming, and an understanding of computer organization. The book is also suitable for self-study by computer professionals and mathematicians interested in applications.

Mathematical and Statistical Methods in Reliability

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Publisher : World Scientific
ISBN 13 : 9814486264
Total Pages : 568 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Mathematical and Statistical Methods in Reliability by : Bo H Lindqvist

Download or read book Mathematical and Statistical Methods in Reliability written by Bo H Lindqvist and published by World Scientific. This book was released on 2003-10-10 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains extended versions of 34 carefully selected and reviewed papers presented at the Third International Conference on Mathematical Methods in Reliability, held in Trondheim, Norway in 2002. It provides a broad overview of current research activities in reliability theory and its applications. There are chapters on reliability modelling, network and system reliability, reliability optimization, survival analysis, degradation and maintenance modelling, and software reliability. The authors are all leading experts in the field. A particular feature of the book is a historical review by Professor Richard E Barlow, well known for his pioneering research on reliability. The list of authors also includes the plenary session speakers Odd O Aalen, Philip J Boland, Sallie A Keller-McNulty, and Nozer Singpurwalla. Contents:Reliability Theory in the Past and Present CenturiesGeneral Aspects of Reliability ModellingReliability of Networks and SystemsStochastic Modelling and Optimization in ReliabilityModelling in Survival and Reliability AnalysisStatistical Methods for Degradation DataStatistical Methods for Maintained SystemsStatistical Inference in Survival AnalysisSoftware Reliability Methods Readership: Graduate students, academics and professionals in probability & statistics, reliability analysis, survival analysis, industrial engineering, software engineering, operations research and applied mathematics research. Keywords:Applied Probability;Bayesian Analysis;Maintenance Modeling;Reliability Theory;Software Reliability;Statistical Inference;Survival Analysis

Statistical Software Engineering

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Publisher : National Academies Press
ISBN 13 : 0309176085
Total Pages : 83 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Statistical Software Engineering by : National Research Council

Download or read book Statistical Software Engineering written by National Research Council and published by National Academies Press. This book was released on 1996-03-15 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunities for further research in the statistical sciences and their applications to software engineering. It is intended to motivate and attract new researchers from statistics and the mathematical sciences to attack relevant and pressing problems in the software engineering setting. It describes the "big picture," as this approach provides the context in which statistical methods must be developed. The book's survey nature is directed at the mathematical sciences audience, but software engineers should also find the statistical emphasis refreshing and stimulating. It is hoped that the book will have the effect of seeding the field of statistical software engineering by its indication of opportunities where statistical thinking can help to increase understanding, productivity, and quality of software and software production.

Probability and Statistics with Reliability, Queuing, and Computer Science Applications

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 0471460818
Total Pages : 880 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Probability and Statistics with Reliability, Queuing, and Computer Science Applications by : Kishor S. Trivedi

Download or read book Probability and Statistics with Reliability, Queuing, and Computer Science Applications written by Kishor S. Trivedi and published by John Wiley & Sons. This book was released on 2016-07-11 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications Second edition now also available in Paperback. This updated and revised edition of the popular classic first edition relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault tolerance, and performance. This edition features an entirely new section on stochastic Petri nets—as well as new sections on system availability modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects. Extensive revisions take new developments in solution techniques and applications into account and bring this work totally up to date. It includes more than 200 worked examples and self-study exercises for each section. Probability and Statistics with Reliability, Queuing and Computer Science Applications, Second Edition offers a comprehensive introduction to probability, stochastic processes, and statistics for students of computer science, electrical and computer engineering, and applied mathematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Reliability Modeling With Computer And Maintenance Applications

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Publisher : #N/A
ISBN 13 : 9813224517
Total Pages : 396 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Reliability Modeling With Computer And Maintenance Applications by : Nakamura Syouji

Download or read book Reliability Modeling With Computer And Maintenance Applications written by Nakamura Syouji and published by #N/A. This book was released on 2017-06-07 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of Reliability and Maintenance theory and applications has become major concerns of engineers and managers engaged in order to design and product systems that are highly reliable. This book aims to cover the ongoing research topics in computer system, reliability analysis, reliability applications and maintenance policies, so as to provide awareness for those who engage systems design, being students, technicians, or research engineers, as a reference guidebook.

Modern Statistical And Mathematical Methods In Reliability

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Publisher : World Scientific
ISBN 13 : 9814480258
Total Pages : 428 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Modern Statistical And Mathematical Methods In Reliability by : Sallie Keller-mcnulty

Download or read book Modern Statistical And Mathematical Methods In Reliability written by Sallie Keller-mcnulty and published by World Scientific. This book was released on 2005-10-03 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains extended versions of 28 carefully selected and reviewed papers presented at The Fourth International Conference on Mathematical Methods in Reliability in Santa Fe, New Mexico, June 21-25, 2004, the leading conference in reliability research. The meeting serves as a forum for discussing fundamental issues on mathematical methods in reliability theory and its applications.A broad overview of current research activities in reliability theory and its applications is provided with coverage on reliability modeling, network and system reliability, Bayesian methods, survival analysis, degradation and maintenance modeling, and software reliability. The contributors are all leading experts in the field and include the plenary session speakers, Tim Bedford, Thierry Duchesne, Henry Wynn, Vicki Bier, Edsel Pena, Michael Hamada, and Todd Graves.

Computational Methods for Reliability and Risk Analysis

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Publisher : World Scientific
ISBN 13 : 9812839011
Total Pages : 363 pages
Book Rating : 4.8/5 (128 download)

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Book Synopsis Computational Methods for Reliability and Risk Analysis by : Enrico Zio

Download or read book Computational Methods for Reliability and Risk Analysis written by Enrico Zio and published by World Scientific. This book was released on 2009 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book illustrates a number of modelling and computational techniques for addressing relevant issues in reliability and risk analysis. In particular, it provides: i) a basic illustration of some methods used in reliability and risk analysis for modelling the stochastic failure and repair behaviour of systems, e.g. the Markov and Monte Carlo simulation methods; ii) an introduction to Genetic Algorithms, tailored to their application for RAMS (Reliability, Availability, Maintainability and Safety) optimization; iii) an introduction to key issues of system reliability and risk analysis, like dependent failures and importance measures; and iv) a presentation of the issue of uncertainty and of the techniques of sensitivity and uncertainty analysis used in support of reliability and risk analysis.The book provides a technical basis for senior undergraduate or graduate courses and a reference for researchers and practitioners in the field of reliability and risk analysis. Several practical examples are included to demonstrate the application of the concepts and techniques in practice.