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Mathematical and Statistical Methods in Reliability

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Release : 2003
Genre : Mathematics
Kind : eBook
Book Rating : 212/5 ( reviews)

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

Download or read book Mathematical and Statistical Methods in Reliability written by Bo Lindqvist. This book was released on 2003. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Release : 2010-11-02
Genre : Technology & Engineering
Kind : eBook
Book Rating : 719/5 ( reviews)

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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. This book was released on 2010-11-02. 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.

Statistical Analysis of Reliability and Life-Testing Models

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Release : 2017-12-01
Genre : Mathematics
Kind : eBook
Book Rating : 64X/5 ( reviews)

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Book Synopsis Statistical Analysis of Reliability and Life-Testing Models by : Lee Bain

Download or read book Statistical Analysis of Reliability and Life-Testing Models written by Lee Bain. This book was released on 2017-12-01. Available in PDF, EPUB and Kindle. Book excerpt: 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

Statistical Methods for Reliability Data

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Release : 2022-01-24
Genre : Technology & Engineering
Kind : eBook
Book Rating : 487/5 ( reviews)

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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. This book was released on 2022-01-24. 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.

System Reliability Theory

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Release : 2009-09-25
Genre : Technology & Engineering
Kind : eBook
Book Rating : 744/5 ( reviews)

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Book Synopsis System Reliability Theory by : Arnljot Høyland

Download or read book System Reliability Theory written by Arnljot Høyland. This book was released on 2009-09-25. 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.

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