Modern Statistical And Mathematical Methods In Reliability

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Modern Statistical and Mathematical Methods in Reliability

Author : Alyson G. Wilson
Publisher : World Scientific
Page : 428 pages
File Size : 47,8 Mb
Release : 2005
Category : Mathematics
ISBN : 9789812703378

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Modern Statistical and Mathematical Methods in Reliability by Alyson G. Wilson Pdf

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 21OCo25, 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."

Modern Statistical and Mathematical Methods in Reliability

Author : Alyson G. Wilson
Publisher : World Scientific
Page : 430 pages
File Size : 45,5 Mb
Release : 2005
Category : Mathematics
ISBN : 9789812563569

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Modern Statistical and Mathematical Methods in Reliability by Alyson G. Wilson Pdf

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. 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.

Mathematical and Statistical Methods in Reliability

Author : Bo Lindqvist,Kjell A. Doksum
Publisher : World Scientific
Page : 569 pages
File Size : 53,6 Mb
Release : 2003
Category : Mathematics
ISBN : 9789812383211

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Mathematical and Statistical Methods in Reliability by Bo Lindqvist,Kjell A. Doksum Pdf

This book contains extended versions of carefully selected and reviewed papers presented at the Third International Conference on Mathematical Methods in Reliability, held in Norway in 2002. It provides an overview of current research activities in reliability theory. The authors are all leading experts in the field. Readership: Graduate students, academics and professionals in probability & statistics, reliability analysis, survival analysis, industrial engineering, software engineering, operations research and applied mathematics research.

Mathematical and Statistical Models and Methods in Reliability

Author : V.V. Rykov,N Balakrishnan,M.S. Nikulin
Publisher : Birkhäuser
Page : 457 pages
File Size : 41,8 Mb
Release : 2011-03-04
Category : Technology & Engineering
ISBN : 0817649727

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Mathematical and Statistical Models and Methods in Reliability by V.V. Rykov,N Balakrishnan,M.S. Nikulin Pdf

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

Author : V.V. Rykov,N. Balakrishnan,M.S. Nikulin
Publisher : Springer Science & Business Media
Page : 465 pages
File Size : 48,6 Mb
Release : 2010-11-02
Category : Technology & Engineering
ISBN : 9780817649715

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Mathematical and Statistical Models and Methods in Reliability by V.V. Rykov,N. Balakrishnan,M.S. Nikulin Pdf

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 Methods of Reliability Theory

Author : B. V. Gnedenko,Yu. K. Belyayev,A. D. Solovyev
Publisher : Academic Press
Page : 518 pages
File Size : 54,5 Mb
Release : 2014-06-20
Category : Technology & Engineering
ISBN : 9781483263519

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Mathematical Methods of Reliability Theory by B. V. Gnedenko,Yu. K. Belyayev,A. D. Solovyev Pdf

Mathematical Methods of Reliability Theory discusses fundamental concepts of probability theory, mathematical statistics, and an exposition of the relationships among the fundamental quantitative characteristics encountered in the theory. The book deals with the set-theoretic approach to reliability theory and the central concepts of set theory to the phenomena. It also presents methods of finding estimates for reliability parameters based on observations and methods of testing reliability hypotheses. Based on mathematical statistics, the book also explains formulation of some selected results. It presents a method that increases the reliability of manufactured articles—redundancy. An important part of product quality control is the standards of acceptance-sampling plans which require simplicity, wide content for flexibility, comprehensive characteristics, and variability. The book also tackles economical and rational methods of sampling inspections, highlighting the need for a correct evaluation of environmental conditions—the factors which predetermine the choice of the inspection method. The book then explains how to estimate the efficiency of the operation of the sampling plan after its selection. The book can be helpful for engineers, mathematicians, economists, or industrial managers, as well as for other professionals who work in the technological, political, research, structural, and physico-chemical areas.

Statistical Methods for Reliability Data

Author : William Q. Meeker,Luis A. Escobar,Francis G. Pascual
Publisher : John Wiley & Sons
Page : 708 pages
File Size : 40,7 Mb
Release : 2022-01-24
Category : Technology & Engineering
ISBN : 9781118594483

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Statistical Methods for Reliability Data by William Q. Meeker,Luis A. Escobar,Francis G. Pascual Pdf

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 Analysis of Reliability Data

Author : Martin J. Crowder
Publisher : Routledge
Page : 210 pages
File Size : 42,9 Mb
Release : 2017-11-13
Category : Business & Economics
ISBN : 9781351414616

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Statistical Analysis of Reliability Data by Martin J. Crowder Pdf

Written for those who have taken a first course in statistical methods, this book takes a modern, computer-oriented approach to describe the statistical techniques used for the assessment of reliability.

Statistical Methods for Reliability Data

Author : William Q. Meeker,Luis A. Escobar,Francis G. Pascual
Publisher : John Wiley & Sons
Page : 708 pages
File Size : 40,6 Mb
Release : 2021-12-29
Category : Technology & Engineering
ISBN : 9781118115459

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Statistical Methods for Reliability Data by William Q. Meeker,Luis A. Escobar,Francis G. Pascual Pdf

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 Analysis of Reliability and Life-Testing Models

Author : Lee Bain
Publisher : Routledge
Page : 280 pages
File Size : 40,7 Mb
Release : 2017-12-01
Category : Mathematics
ISBN : 9781351414647

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Statistical Analysis of Reliability and Life-Testing Models by Lee Bain Pdf

Textbook for a methods course or reference for an experimenter who is mainly interested in data analyses rather than in the mathematical development of the procedures. Provides the most useful statistical techniques, not only for the normal distribution, but for other important distributions, such a

System Reliability Theory

Author : Arnljot Høyland,Marvin Rausand
Publisher : John Wiley & Sons
Page : 536 pages
File Size : 41,5 Mb
Release : 2009-09-25
Category : Technology & Engineering
ISBN : 9780470317747

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System Reliability Theory by Arnljot Høyland,Marvin Rausand Pdf

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.

Statistical and Probabilistic Models in Reliability

Author : Nikolaos Limnios,Dumitru Cezar Ionescu
Publisher : Springer Science & Business Media
Page : 369 pages
File Size : 53,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461217824

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Statistical and Probabilistic Models in Reliability by Nikolaos Limnios,Dumitru Cezar Ionescu Pdf

This volume consists of twenty-four papers selected by the editors from the sixty-one papers presented at the 1st International Conference on Mathemati cal Methods in Reliability held at the Politehnica University of Bucharest from 16 to 19 September 1997. The papers have been divided into three sections: statistical methods, probabilistic methods, and special techniques and appli cations. Of course, as with any classification, some papers could be as well assigned to other sections. Problems in reliability are encountered in items in everyday usage. Relia bility is an important feature of household appliances, cars, telephones, power supplies, and so on, whether viewed from the vantage of the producer or the consumer. Important decisions are based on the reliability of the product. Obtaining systems that perform adequately for a specified period of time in a given environment is an important goal for both government and industry. Hence study and use of reliability theory, which can be applied in the research, development, and production phases of a system to enable the user to evaluate and improve performance, is a worthwhile venture. If reliability theory is to be useful, it must be quantitative in nature, because reliability must be demonstra ble. Subsequently probability and statistics, among others, play an important part in its development.

Lifetime Data

Author : Jayant V Deshpande,Sudha G Purohit
Publisher : World Scientific Publishing Company
Page : 304 pages
File Size : 42,8 Mb
Release : 2015-12-15
Category : Mathematics
ISBN : 9789814730686

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Lifetime Data by Jayant V Deshpande,Sudha G Purohit Pdf

This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics, engineering statistics and medical statistics courses. It is helpful for researchers who wish to choose appropriate models and methods for analyzing lifetime data. There is an extensive discussion on the concept and role of ageing in choosing appropriate models for lifetime data, with a special emphasis on tests of exponentiality. There are interesting contributions related to the topics of ageing, tests for exponentiality, competing risks and repairable systems. A special feature of this book is that it introduces the public domain R-software and explains how it can be used in computations of methods discussed in the book. This new edition includes new sections on Frailty Models and Accelerated Life Time Models. Many more illustrations and exercises are also included.

Complex System Maintenance Handbook

Author : Khairy Ahmed Helmy Kobbacy,D. N. Prabhakar Murthy
Publisher : Springer Science & Business Media
Page : 649 pages
File Size : 43,8 Mb
Release : 2008-04-15
Category : Technology & Engineering
ISBN : 9781848000117

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Complex System Maintenance Handbook by Khairy Ahmed Helmy Kobbacy,D. N. Prabhakar Murthy Pdf

This utterly comprehensive work is thought to be the first to integrate the literature on the physics of the failure of complex systems such as hospitals, banks and transport networks. It has chapters on particular aspects of maintenance written by internationally-renowned researchers and practitioners. This book will interest maintenance engineers and managers in industry as well as researchers and graduate students in maintenance, industrial engineering and applied mathematics.

Basics of Reliability and Risk Analysis

Author : Enrico Zio,Piero Baraldi,Francesco Cadini
Publisher : World Scientific
Page : 218 pages
File Size : 41,9 Mb
Release : 2011
Category : Technology & Engineering
ISBN : 9789814355032

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Basics of Reliability and Risk Analysis by Enrico Zio,Piero Baraldi,Francesco Cadini Pdf

eliability and safety are fundamental attributes of any modern technological system. To achieve this, diverse types of protection barriers are placed as safeguards from the hazard posed by the operation of the system, within a multiple-barrier design concept. These barriers are intended to protect the system from failures of any of its elements, hardware, software, human and organizational. Correspondingly, the quantification of the probability of failure of the system and its protective barriers, through reliability and risk analyses, becomes a primary task in both the system design and operation phases. This exercise book serves as a complementary tool supporting the methodology concepts introduced in the books "An introduction to the basics of reliability and risk analysis" and "Computational methods for reliability and risk analysis" by Enrico Zio, in that it gives an opportunity to familiarize with the applications of classical and advanced techniques of reliability and risk analysis. This book is also available as a set with Computational Methods for Reliability and Risk Analysis and An Introduction to the Basics of Reliability and Risk Analysis.