Statistical Methods For Reliability Data

Author : William Q. Meeker
Publisher : John Wiley & Sons
ISBN 13 : 1118594487
Total Pages : 708 pages
Book Rating : 4.83/5 ( download)

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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.

Author : Martin J. Crowder
Publisher : Routledge
ISBN 13 : 1351414623
Total Pages : 264 pages
Book Rating : 4.23/5 ( download)

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Download or read book Statistical Analysis of Reliability Data written by Martin J. Crowder and published by Routledge. This book was released on 2017-11-13 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Nancy R. Mann
Publisher :
ISBN 13 :
Total Pages : 584 pages
Book Rating : 4.92/5 ( download)

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Download or read book Methods for Statistical Analysis of Reliability and Life Data written by Nancy R. Mann and published by . This book was released on 1974 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Martin J. Crowder
Publisher : Routledge
ISBN 13 : 1351414615
Total Pages : 210 pages
Book Rating : 4.16/5 ( download)

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Download or read book Statistical Analysis of Reliability Data written by Martin J. Crowder and published by Routledge. This book was released on 2017-11-13 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Arnljot Høyland
Publisher : John Wiley & Sons
ISBN 13 : 0470317744
Total Pages : 536 pages
Book Rating : 4.47/5 ( download)

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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.

Author : William Q. Meeker
Publisher : Wiley-Interscience
ISBN 13 : 9780585317243
Total Pages : 680 pages
Book Rating : 4.40/5 ( download)

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Download or read book Statistical Methods for Reliability Data written by William Q. Meeker and published by Wiley-Interscience. This book was released on 1998 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bringing statistical methods for reliability testing in line with the computer age This volume presents state-of-the-art, computer-based statistical methods for reliability data analysis and test planning for industrial products. Statistical Methods for Reliability Data updates and improves established techniques as it demonstrates how to apply the new graphical, numerical, or simulation-based methods to a broad range of models encountered in reliability data analysis. It includes methods for planning reliability studies and analyzing degradation data, simulation methods used to complement large-sample asymptotic theory, general likelihood-based methods of handling arbitrarily censored data and truncated data, and more. In this book, engineers and statisticians in industry and academia will find: A wealth of information and procedures developed to give products a competitive edgeSimple examples of data analysis computed with the S-PLUS system?for which a suite of functions and commands is available over the InternetEnd-of-chapter, real-data exercise setsHundreds of computer graphics illustrating data, results of analyses, and technical concepts An essential resource for practitioners involved in product reliability and design decisions, Statistical Methods for Reliability Data is also an excellent textbook for on-the-job training courses, and for university courses on applied reliability data analysis at the graduate level. "Amstat News" asked three review editors to rate their top five favorite books in the September 2003 issue. "Statistical Methods for Reliability Data" was among those chosen.

Author : Hoang Pham
Publisher : Springer Nature
ISBN 13 : 3030769046
Total Pages : 497 pages
Book Rating : 4.48/5 ( download)

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Download or read book Statistical Reliability Engineering written by Hoang Pham and published by Springer Nature. This book was released on 2021-08-13 with total page 497 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.

Author : V.V. Rykov
Publisher : Springer Science & Business Media
ISBN 13 : 0817649719
Total Pages : 465 pages
Book Rating : 4.15/5 ( download)

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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.

Author : Shelemyahu Zacks
Publisher : Springer Science & Business Media
ISBN 13 : 1461228549
Total Pages : 226 pages
Book Rating : 4.47/5 ( download)

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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.

Author : John K. Taylor
Publisher : CRC Press
ISBN 13 : 1135439540
Total Pages : 296 pages
Book Rating : 4.45/5 ( download)

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Download or read book Statistical Techniques for Data Analysis written by John K. Taylor and published by CRC Press. This book was released on 2004-01-14 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the first edition of this book appeared, computers have come to the aid of modern experimenters and data analysts, bringing with them data analysis techniques that were once beyond the calculational reach of even professional statisticians. Today, scientists in every field have access to the techniques and technology they need to analyze stat