Reliability Analysis for Systems with Stochastic and Spatial Dependence

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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Reliability Analysis for Systems with Stochastic and Spatial Dependence by : Bodunrin Nathaniel Brown

Download or read book Reliability Analysis for Systems with Stochastic and Spatial Dependence written by Bodunrin Nathaniel Brown and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Stochastic Models in Reliability Engineering

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Publisher : CRC Press
ISBN 13 : 1000094596
Total Pages : 464 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Stochastic Models in Reliability Engineering by : Lirong Cui

Download or read book Stochastic Models in Reliability Engineering written by Lirong Cui and published by CRC Press. This book was released on 2020-07-29 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collective work by many leading scientists, analysts, mathematicians, and engineers who have been working at the front end of reliability science and engineering. The book covers conventional and contemporary topics in reliability science, all of which have seen extended research activities in recent years. The methods presented in this book are real-world examples that demonstrate improvements in essential reliability and availability for industrial equipment such as medical magnetic resonance imaging, power systems, traction drives for a search and rescue helicopter, and air conditioning systems. The book presents real case studies of redundant multi-state air conditioning systems for chemical laboratories and covers assessments of reliability and fault tolerance and availability calculations. Conventional and contemporary topics in reliability engineering are discussed, including degradation, networks, dynamic reliability, resilience, and multi-state systems, all of which are relatively new topics to the field. The book is aimed at engineers and scientists, as well as postgraduate students involved in reliability design, analysis, experiments, and applied probability and statistics.

Reliability and Maintenance Analysis of Multi-component Systems with Stochastic Dependence

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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (12 download)

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Book Synopsis Reliability and Maintenance Analysis of Multi-component Systems with Stochastic Dependence by : Nan Zhang

Download or read book Reliability and Maintenance Analysis of Multi-component Systems with Stochastic Dependence written by Nan Zhang and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In modern society, systems composed of many components which may interact with each other play a vital role and become more and more important. It is not a simple task to ensure the normal operation of systems since that they are often subject to deterioration and wear and operate in a changing environment. Maintenance actions can be carried out in order to avoid the failure of the system.This thesis considers maintenance problems and reliability evaluations of multi-component systems. At first, we study a two-component system with various types of stochastic dependencies. Three models have been considered. For each of the three models above, several maintenance policies are proposed. Under each policy, the explicit expressions of the long-term average cost as well as the cost optimality are studied. In addition, for the last two models, several guarantee policies are proposed and the allocation of the warranty cost between the manufacturer and the consumer are studied.Finally, an M-out-of-N system which operates in a dynamic environment is studied. Performance measures such as the reliability of the system, the remaining useful life (RUL), the asymptotic availability are calculated.In conclusion, it is shown that in multi-component systems, stochastic dependence between components may affect both system performance measures and the optimization of maintenance policies.

Point Processes for Reliability Analysis

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Publisher : Springer
ISBN 13 : 3319735403
Total Pages : 427 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Point Processes for Reliability Analysis by : Ji Hwan Cha

Download or read book Point Processes for Reliability Analysis written by Ji Hwan Cha and published by Springer. This book was released on 2018-01-17 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on the theory and applications of point processes, Point Processes for Reliability Analysis naturally combines classical results on the basic and advanced properties of point processes with recent theoretical findings of the authors. It also presents numerous examples that illustrate how general results and approaches are applied to stochastic description of repairable systems and systems operating in a random environment modelled by shock processes. The real life objects are operating in a changing, random environment. One of the ways to model an impact of this environment is via the external shocks occurring in accordance with some stochastic point processes. The Poisson (homogeneous and nonhomogeneous) process, the renewal process and their generalizations are considered as models for external shocks affecting an operating system. At the same time these processes model the consecutive failure/repair times of repairable engineering systems. Perfect, minimal and intermediate (imperfect) repairs are discussed in this respect. Covering material previously available only in the journal literature, Point Processes for Reliability Analysis provides a survey of recent developments in this area which will be invaluable to researchers and advanced students in reliability engineering and applied mathematics.

System Reliability Theory

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Publisher : John Wiley & Sons
ISBN 13 : 1119373522
Total Pages : 864 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis System Reliability Theory by : Marvin Rausand

Download or read book System Reliability Theory written by Marvin Rausand and published by John Wiley & Sons. This book was released on 2020-11-03 with total page 864 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook and reference for industrial statisticians and system reliability engineers System Reliability Theory: Models, Statistical Methods, and Applications, Third Edition presents an updated and revised look at system reliability theory, modeling, and analytical methods. The new edition is based on feedback to the second edition from numerous students, professors, researchers, and industries around the world. New sections and chapters are added together with new real-world industry examples, and standards and problems are revised and updated. System Reliability Theory covers a broad and deep array of system reliability topics, including: · In depth discussion of failures and failure modes · The main system reliability assessment methods · Common-cause failure modeling · Deterioration modeling · Maintenance modeling and assessment using Python code · Bayesian probability and methods · Life data analysis using R Perfect for undergraduate and graduate students taking courses in reliability engineering, this book also serves as a reference and resource for practicing statisticians and engineers. Throughout, the book has a practical focus, incorporating industry feedback and real-world industry problems and examples.

System Reliability Theory

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Publisher : John Wiley & Sons
ISBN 13 : 047147133X
Total Pages : 664 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis System Reliability Theory by : Marvin Rausand

Download or read book System Reliability Theory written by Marvin Rausand and published by John Wiley & Sons. This book was released on 2003-12-05 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: A thoroughly updated and revised look at system reliability theory Since the first edition of this popular text was published nearly a decade ago, new standards have changed the focus of reliability engineering and introduced new concepts and terminology not previously addressed in the engineering literature. Consequently, the Second Edition of System Reliability Theory: Models, Statistical Methods, and Applications has been thoroughly rewritten and updated to meet current standards. To maximize its value as a pedagogical tool, the Second Edition features: Additional chapters on reliability of maintained systems and reliability assessment of safety-critical systems Discussion of basic assessment methods for operational availability and production regularity New concepts and terminology not covered in the first edition Revised sequencing of chapters for better pedagogical structure New problems, examples, and cases for a more applied focus An accompanying Web site with solutions, overheads, and supplementary information With its updated practical focus, incorporation of industry feedback, and many new examples based on real industry problems and data, the Second Edition of this important text should prove to be more useful than ever for students, instructors, and researchers alike.

Stochastic Models in Reliability

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Publisher : Springer Science & Business Media
ISBN 13 : 1461478944
Total Pages : 307 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Stochastic Models in Reliability by : Terje Aven

Download or read book Stochastic Models in Reliability written by Terje Aven and published by Springer Science & Business Media. This book was released on 2013-08-04 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive up-to-date presentation of some of the classical areas of reliability, based on a more advanced probabilistic framework using the modern theory of stochastic processes. This framework allows analysts to formulate general failure models, establish formulae for computing various performance measures, as well as determine how to identify optimal replacement policies in complex situations. In this second edition of the book, two major topics have been added to the original version: copula models which are used to study the effect of structural dependencies on the system reliability; and maintenance optimization which highlights delay time models under safety constraints. Terje Aven is Professor of Reliability and Risk Analysis at University of Stavanger, Norway. Uwe Jensen is working as a Professor at the Institute of Applied Mathematics and Statistics of the University of Hohenheim in Stuttgart, Germany. Review of first edition: "This is an excellent book on mathematical, statistical and stochastic models in reliability. The authors have done an excellent job of unifying some of the stochastic models in reliability. The book is a good reference book but may not be suitable as a textbook for students in professional fields such as engineering. This book may be used for graduate level seminar courses for students who have had at least the first course in stochastic processes and some knowledge of reliability mathematics. It should be a good reference book for researchers in reliability mathematics." --Mathematical Reviews (2000)

System Reliability Theory

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Publisher : John Wiley & Sons
ISBN 13 : 0470317744
Total Pages : 536 pages
Book Rating : 4.4/5 (73 download)

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Book Synopsis System Reliability Theory by : Arnljot Høyland

Download or read book System Reliability Theory written by Arnljot Høyland and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Modern Dynamic Reliability Analysis for Multi-state Systems

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Publisher : Springer Nature
ISBN 13 : 3030524884
Total Pages : 195 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Modern Dynamic Reliability Analysis for Multi-state Systems by : Anatoly Lisnianski

Download or read book Modern Dynamic Reliability Analysis for Multi-state Systems written by Anatoly Lisnianski and published by Springer Nature. This book was released on 2020-08-24 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses recent developments in dynamic reliability in multi-state systems (MSS), addressing such important issues as reliability and availability analysis of aging MSS, the impact of initial conditions on MSS reliability and availability, changing importance of components over time in MSS with aging components, and the determination of age-replacement policies. It also describes modifications of traditional methods, such as Markov processes with rewards, as well as a modern mathematical method based on the extended universal generating function technique, the Lz-transform, presenting various successful applications and demonstrating their use in real-world problems. This book provides theoretical insights, information on practical applications, and real-world case studies that are of interest to engineers and industrial managers as well as researchers. It also serves as a textbook or supporting text for graduate and postgraduate courses in industrial, electrical, and mechanical engineering.

On the Use of Stochastic Processes in Modeling Reliability Problems

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Publisher : Springer Science & Business Media
ISBN 13 : 3642465536
Total Pages : 113 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis On the Use of Stochastic Processes in Modeling Reliability Problems by : Alessandro Birolini

Download or read book On the Use of Stochastic Processes in Modeling Reliability Problems written by Alessandro Birolini and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic processes are powerful tools for the investigation of reliability and availability of repairable equipment and systems. Because of the involved models, and in order to be mathematically tractable, these processes are generally confined to the class of regenerative stochastic processes with a finite state space, to which belong: renewal processes, Markov processes, semi-Markov processes, and more general regenerative processes with only one (or a few) regeneration staters). The object of this monograph is to review these processes and to use them in solving some reliability problems encountered in practical applications. Emphasis is given to a comprehensive exposition of the analytical procedures, to the limitations in volved, and to the unification and extension of. the models known in the literature. The models investigated here assume. that systems have only one repair crew and that no further failure can occur at system down. Repair and failure rates are general ized step-by-step, up to the case in which the involved process is regenerative with only one (or a few) regeneration state(s). Investigations deal with different kinds of reliabilities and availabilities for series/parallel structures. Preventive main tenance and imperfect switching are considered in some examples.

Introduction to Reliability Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 1461228549
Total Pages : 226 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Introduction to Reliability Analysis by : Shelemyahu Zacks

Download or read book Introduction to Reliability Analysis written by Shelemyahu Zacks and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reliability analysis is concerned with the analysis of devices and systems whose individual components are prone to failure. This textbook presents an introduction to reliability analysis of repairable and non-repairable systems. It is based on courses given to both undergraduate and graduate students of engineering and statistics as well as in workshops for professional engineers and scientists. As aresult, the book concentrates on the methodology of the subject and on understanding theoretical results rather than on its theoretical development. An intrinsic aspect of reliability analysis is that the failure of components is best modelled using techniques drawn from probability and statistics. Professor Zacks covers all the basic concepts required from these subjects and covers the main modern reliability analysis techniques thoroughly. These include: the graphical analysis of life data, maximum likelihood estimation and bayesian likelihood estimation. Throughout the emphasis is on the practicalities of the subject with numerous examples drawn from industrial and engineering settings.

Stochastic Orders in Reliability and Risk

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Publisher : Springer Science & Business Media
ISBN 13 : 1461468922
Total Pages : 459 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Stochastic Orders in Reliability and Risk by : Haijun Li

Download or read book Stochastic Orders in Reliability and Risk written by Haijun Li and published by Springer Science & Business Media. This book was released on 2013-06-22 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Orders in Reliability and Risk Management is composed of 19 contributions on the theory of stochastic orders, stochastic comparison of order statistics, stochastic orders in reliability and risk analysis, and applications. These review/exploratory chapters present recent and current research on stochastic orders reported at the International Workshop on Stochastic Orders in Reliability and Risk Management, or SORR2011, which took place in the City Hotel, Xiamen, China, from June 27 to June 29, 2011. The conference’s talks and invited contributions also represent the celebration of Professor Moshe Shaked, who has made comprehensive, fundamental contributions to the theory of stochastic orders and its applications in reliability, queueing modeling, operations research, economics and risk analysis. This volume is in honor of Professor Moshe Shaked. The work presented in this volume represents active research on stochastic orders and multivariate dependence, and exemplifies close collaborations between scholars working in different fields. The Xiamen Workshop and this volume seek to revive the community workshop tradition on stochastic orders and dependence and strengthen research collaboration, while honoring the work of a distinguished scholar.

Efficient Time-dependent System Reliability Analysis

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ISBN 13 :
Total Pages : 158 pages
Book Rating : 4.:/5 (974 download)

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Book Synopsis Efficient Time-dependent System Reliability Analysis by : Zhifu Zhu

Download or read book Efficient Time-dependent System Reliability Analysis written by Zhifu Zhu and published by . This book was released on 2016 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Engineering systems are usually subjected to time-variant loads and operate under time-dependent uncertainty; system performances are therefore time-dependent. Accurate and efficient estimate of system reliability is crucial for decision makings on system design, lifetime cost estimate, maintenance strategy, etc. Although significant progresses have been made in time-independent reliability analysis for components and systems, time-dependent system reliability methodologies are still limited. This dissertation is motivated by the need of accurate and effective reliability prediction for engineering systems under time-dependent uncertainty. Based on the classic First and Second Order Reliability Method (FORM and SORM), a system reliability method is developed for multidisciplinary systems involving stationary stochastic processes. A dependent Kriging method is also developed for general components. This method accounts for dependent responses from surrogate models and is therefore more accurate than existing Kriging Monte Carlo simulation methods that neglect the dependence between responses. The extension of the dependent Kriging method to systems is also a contribution of this dissertation. To overcome the difficulty of obtaining extreme value distributions and get rid of global optimization with a double-loop procedure, a Kriging surrogate modeling method is also proposed. This method provides a new perspective of surrogate modeling for time-dependent systems and is applicable to general systems having random variables, time, and stochastic processes. The proposed methods are evaluated through a wide range of engineering systems, including a compound cylinders system, a liquid hydrogen fuel tank, function generator mechanisms, slider-crank mechanisms, and a Daniels system"--Abstract, page iv.

Reliability-Based Analysis and Design of Structures and Infrastructure

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Publisher : CRC Press
ISBN 13 : 1000418065
Total Pages : 522 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Reliability-Based Analysis and Design of Structures and Infrastructure by : Ehsan Noroozinejad Farsangi

Download or read book Reliability-Based Analysis and Design of Structures and Infrastructure written by Ehsan Noroozinejad Farsangi and published by CRC Press. This book was released on 2021-09-27 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasing demand on improving the resiliency of modern structures and infrastructure requires ever more critical and complex designs. Therefore, the need for accurate and efficient approaches to assess uncertainties in loads, geometry, material properties, manufacturing processes, and operational environments has increased significantly. Reliability-based techniques help develop more accurate initial guidance for robust design and help to identify the sources of significant uncertainty in structural systems. Reliability-Based Analysis and Design of Structures and Infrastructure presents an overview of the methods of classical reliability analysis and design most associated with structural reliability. It also introduces more modern methods and advancements, and emphasizes the most useful methods and techniques used in reliability and risk studies, while elaborating their practical applications and limitations rather than detailed derivations. Features: Provides a practical and comprehensive overview of reliability and risk analysis and design techniques. Introduces resilient and smart structures/infrastructure that will lead to more reliable and sustainable societies. Considers loss elimination, risk management and life-cycle asset management as related to infrastructure projects. Introduces probability theory, statistical methods, and reliability analysis methods. Reliability-Based Analysis and Design of Structures and Infrastructure is suitable for researchers and practicing engineers, as well as upper-level students taking related courses in structural reliability analysis and design.

Dynamic System Reliability

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Publisher :
ISBN 13 : 9781119507642
Total Pages : pages
Book Rating : 4.5/5 (76 download)

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Book Synopsis Dynamic System Reliability by : Liudong Xing

Download or read book Dynamic System Reliability written by Liudong Xing and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers timely and comprehensive coverage of dynamic system reliability theory This book focuses on hot issues of dynamic system reliability, systematically introducing the reliability modeling and analysis methods for systems with imperfect fault coverage, systems with function dependence, systems subject to deterministic or probabilistic common-cause failures, systems subject to deterministic or probabilistic competing failures, and dynamic standby sparing systems. It presents recent developments of such extensions involving reliability modelling theory, reliability evaluation methods, and features numerous case studies based on real-world examples. The presented dynamic reliability theory can enable a more accurate representation of actual complex system behavior, thus more effectively guiding the reliable design of real-world critical systems. Dynamic System Reliability: Modelling and Analysis of Dynamic and Dependent Behaviors begins by describing the evolution from the traditional static reliability theory to the dynamic system reliability theory, and provides a detailed investigation of dynamic and dependent behaviors in subsequent chapters. Although written for those with a background in basic probability theory and stochastic processes, the book includes a chapter reviewing the fundamentals that readers need to know in order to understand contents of other chapters which cover advanced topics in reliability theory and case studies. -The first book systematically focusing on dynamic system reliability modelling and analysis theory -Provides a comprehensive treatment on imperfect fault coverage (single-level/multi-level or modular), function dependence, common cause failures (deterministic and probabilistic), competing failures (deterministic and probabilistic), and dynamic standby sparing -Includes abundant illustrative examples and case studies based on real-world systems -Covers recent advances in combinatorial models and algorithms for dynamic system reliability analysis -Offers a rich set of references, providing helpful resources for readers to pursue further research and study of the topics Dynamic System Reliability: Modelling and Analysis of Dynamic and Dependent Behaviors is an excellent book for undergraduate and graduate students, and engineers and researchers in reliability and related disciplines.

Stochastic Reliability Modeling, Optimization and Applications

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Publisher : World Scientific
ISBN 13 : 9814277436
Total Pages : 317 pages
Book Rating : 4.8/5 (142 download)

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Book Synopsis Stochastic Reliability Modeling, Optimization and Applications by : Syouji Nakamura

Download or read book Stochastic Reliability Modeling, Optimization and Applications written by Syouji Nakamura and published by World Scientific. This book was released on 2010 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Reliability theory and applications become major concerns of engineers and managers engaged in making high quality products and designing highly reliable systems. This book aims to survey new research topics in reliability theory and useful applied techniques in reliability engineering." "The reader will learn new topics and techniques, and how to apply reliability models to actual ones. The book will serve as an essential guide to a subject of study for graduate students and researchers and as a useful guide for reliability engineers engaged not only in maintenance work but also in management and computer works." --Book Jacket.

Mathematical and Statistical Methods in Reliability

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Publisher : World Scientific
ISBN 13 : 9812795251
Total Pages : 569 pages
Book Rating : 4.8/5 (127 download)

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Book Synopsis Mathematical and Statistical Methods in Reliability by : Kjell A. Doksum

Download or read book Mathematical and Statistical Methods in Reliability written by Kjell A. Doksum and published by World Scientific. This book was released on 2003 with total page 569 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 Centuries; General Aspects of Reliability Modelling; Reliability of Networks and Systems; Stochastic Modelling and Optimization in Reliability; Modelling in Survival and Reliability Analysis; Statistical Methods for Degradation Data; Statistical Methods for Maintained Systems; Statistical Inference in Survival Analysis; Software 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.