STATISTICAL METHODS FOR QUALITY, RELIABILITY AND MAINTAINABILITY

2012-05-16 Technology & Engineering

Author : K. MURALIDHARAN
Release : 2012-05-16
Genre : Technology & Engineering
Kind : eBook
Book Rating : 436/5 ( reviews)

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Book Synopsis STATISTICAL METHODS FOR QUALITY, RELIABILITY AND MAINTAINABILITY by : K. MURALIDHARAN

Download or read book STATISTICAL METHODS FOR QUALITY, RELIABILITY AND MAINTAINABILITY written by K. MURALIDHARAN. This book was released on 2012-05-16. Available in PDF, EPUB and Kindle. Book excerpt: A fine blend of the three disciplines, viz. quality, reliability and maintainability, this book provides a clear understanding of the concepts and discusses their applications using statistical tools and techniques. The concepts are critically assessed and explained to enable their use for management decision-making. The book describes many current topics such as six sigma, capability maturity model integration (CMMI), process data management, reliability system models, repairable system models, maintainability assessment and design and testing concepts. It is intended as a textbook for the undergraduate students of Mechanical Engineering and Production and Industrial Engineering. The book will also be useful to the postgraduate students of Applied Statistics, Quality and Reliability, and Quality and Productivity Management as well as to the management and engineering professionals. KEY FEATURES : Provides charts and plots to explain the concepts discussed. Gives an account of most recent developments. Gives illustrations of practical situations where tools can be applied immediately. Interspersed with plenty of worked-out examples to reinforce the concepts. Includes chapter-end exercises to drill the students in self-study.

Statistical Methods for Reliability Data

2022-01-24 Technology & Engineering

Author : William Q. Meeker
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.

Mathematical and Statistical Methods in Reliability

2003 Mathematics

Author : Bo Lindqvist
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.

Statistical Methods for the Reliability of Repairable Systems

2000-04-14 Mathematics

Author : Steven E. Rigdon
Release : 2000-04-14
Genre : Mathematics
Kind : eBook
Book Rating : 419/5 ( reviews)

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Book Synopsis Statistical Methods for the Reliability of Repairable Systems by : Steven E. Rigdon

Download or read book Statistical Methods for the Reliability of Repairable Systems written by Steven E. Rigdon. This book was released on 2000-04-14. Available in PDF, EPUB and Kindle. Book excerpt: A unique, practical guide for industry professionals who need to improve product quality and reliability in repairable systems Owing to its vital role in product quality, reliability has been intensely studied in recent decades. Most of this research, however, addresses systems that are nonrepairable and therefore discarded upon failure. Statistical Methods for the Reliability of Repairable Systems fills the gap in the field, focusing exclusively on an important yet long-neglected area of reliability. Written by two highly recognized members of the reliability and statistics community, this new work offers a unique, systematic treatment of probabilistic models used for repairable systems as well as the statistical methods for analyzing data generated from them. Liberally supplemented with examples as well as exercises boasting real data, the book clearly explains the difference between repairable and nonrepairable systems and helps readers develop an understanding of stochastic point processes. Data analysis methods are discussed for both single and multiple systems and include graphical methods, point estimation, interval estimation, hypothesis tests, goodness-of-fit tests, and reliability prediction. Complete with extensive graphs, tables, and references, Statistical Methods for the Reliability of Repairable Systems is an excellent working resource for industry professionals involved in producing reliable systems and a handy reference for practitioners and researchers in the field.

Product Reliability, Maintainability, and Supportability Handbook

2009-04-16 Business & Economics

Author : Michael Pecht
Release : 2009-04-16
Genre : Business & Economics
Kind : eBook
Book Rating : 893/5 ( reviews)

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Book Synopsis Product Reliability, Maintainability, and Supportability Handbook by : Michael Pecht

Download or read book Product Reliability, Maintainability, and Supportability Handbook written by Michael Pecht. This book was released on 2009-04-16. Available in PDF, EPUB and Kindle. Book excerpt: To ensure product reliability, an organization must follow specific practices during the product development process that impact reliability. The second edition of the bestselling Product Reliability, Maintainability, and Supportability Handbook helps professionals identify the shortcomings in the reliability practices of their organizations and em

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