Statistical Methods For Quality Reliability And Maintainability

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STATISTICAL METHODS FOR QUALITY, RELIABILITY AND MAINTAINABILITY

K. MURALIDHARAN,A. SYAMSUNDAR
STATISTICAL METHODS FOR QUALITY RELIABILITY AND MAINTAINABILITY Book PDF

Author : K. MURALIDHARAN,A. SYAMSUNDAR
Publisher : PHI Learning Pvt. Ltd.
Page : 360 pages
File Size : 54,5 Mb
Release : 2012-05-16
Category : Technology & Engineering
ISBN : 9788120345430

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STATISTICAL METHODS FOR QUALITY, RELIABILITY AND MAINTAINABILITY by K. MURALIDHARAN,A. SYAMSUNDAR Pdf

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.

Mathematical and Statistical Methods in Reliability

Bo Lindqvist,Kjell A. Doksum
Mathematical and Statistical Methods in Reliability Book PDF

Author : Bo Lindqvist,Kjell A. Doksum
Publisher : World Scientific
Page : 569 pages
File Size : 43,7 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 Methods in Reliability

Bo H Lindqvist,Kjell A Doksum
Mathematical and Statistical Methods in Reliability Book PDF

Author : Bo H Lindqvist,Kjell A Doksum
Publisher : World Scientific
Page : 568 pages
File Size : 49,6 Mb
Release : 2003-10-10
Category : Mathematics
ISBN : 9789814486262

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

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 CenturiesGeneral Aspects of Reliability ModellingReliability of Networks and SystemsStochastic Modelling and Optimization in ReliabilityModelling in Survival and Reliability AnalysisStatistical Methods for Degradation DataStatistical Methods for Maintained SystemsStatistical Inference in Survival AnalysisSoftware 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. Keywords:Applied Probability;Bayesian Analysis;Maintenance Modeling;Reliability Theory;Software Reliability;Statistical Inference;Survival Analysis

Reliability Modelling

Linda C. Wolstenholme
Reliability Modelling Book PDF

Author : Linda C. Wolstenholme
Publisher : Routledge
Page : 272 pages
File Size : 55,8 Mb
Release : 2018-10-03
Category : Business & Economics
ISBN : 9781351419093

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Reliability Modelling by Linda C. Wolstenholme Pdf

Reliability is an essential concept in mathematics, computing, research, and all disciplines of engineering, and reliability as a characteristic is, in fact, a probability. Therefore, in this book, the author uses the statistical approach to reliability modelling along with the MINITAB software package to provide a comprehensive treatment of modelling, from the basics through advanced modelling techniques.The book begins by presenting a thorough grounding in the elements of modelling the lifetime of a single, non-repairable unit. Assuming no prior knowledge of the subject, the author includes a guide to all the fundamentals of probability theory, defines the various measures associated with reliability, then describes and discusses the more common lifetime models: the exponential, Weibull, normal, lognormal and gamma distributions. She concludes the groundwork by looking at ways of choosing and fitting the most appropriate model to a given data set, paying particular attention to two critical points: the effect of censored data and estimating lifetimes in the tail of the distribution.The focus then shifts to topics somewhat more difficult:the difference in the analysis of lifetimes for repairable versus non-repairable systems and whether repair truly ""renews"" the systemmethods for dealing with system with reliability characteristic specified for more than one component or subsystemthe effect of different types of maintenance strategiesthe analysis of life test dataThe final chapter provides snapshot introductions to a range of advanced models and presents two case studies that illustrate various ideas from throughout the book.

Statistical Methods for Reliability Data

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

Author : William Q. Meeker,Luis A. Escobar,Francis G. Pascual
Publisher : John Wiley & Sons
Page : 708 pages
File Size : 54,6 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 Methods for the Reliability of Repairable Systems

Steven E. Rigdon,Asit P. Basu
Statistical Methods for the Reliability of Repairable Systems Book PDF

Author : Steven E. Rigdon,Asit P. Basu
Publisher : Wiley-Interscience
Page : 0 pages
File Size : 41,6 Mb
Release : 2000-04-14
Category : Mathematics
ISBN : 0471349410

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Statistical Methods for the Reliability of Repairable Systems by Steven E. Rigdon,Asit P. Basu Pdf

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.

Maintainability of Equipment. Guide to Statistical Methods in Maintainability Evaluation

British Standards Institute Staff
Maintainability of Equipment Guide to Statistical Methods in Maintainability Evaluation Book PDF

Author : British Standards Institute Staff
Publisher : Unknown
Page : 24 pages
File Size : 44,9 Mb
Release : 1995-05-15
Category : Electronic
ISBN : 058024038X

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Maintainability of Equipment. Guide to Statistical Methods in Maintainability Evaluation by British Standards Institute Staff Pdf

Terotechnology, Maintenance, Reliability, Product specification, Statistical methods of analysis, Mathematical calculations, Equations, Sampling methods, Examination (quality assurance)

Statistical Methods for Quality of Life Studies

Mounir Mesbah,Bernard F. Cole,Mei-Ling Ting Lee
Statistical Methods for Quality of Life Studies Book PDF

Author : Mounir Mesbah,Bernard F. Cole,Mei-Ling Ting Lee
Publisher : Springer Science & Business Media
Page : 390 pages
File Size : 45,7 Mb
Release : 2002-08-31
Category : Mathematics
ISBN : 1402001428

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Statistical Methods for Quality of Life Studies by Mounir Mesbah,Bernard F. Cole,Mei-Ling Ting Lee Pdf

The volume presents a broad spectrum of papers which illustrates a range of current research related to the theory, methods and applications of health related quality of life (HRQoL) as well as the interdisciplinary nature of this work.

Statistical Analysis of Reliability Data

Martin J. Crowder
Statistical Analysis of Reliability Data Book PDF

Author : Martin J. Crowder
Publisher : Routledge
Page : 210 pages
File Size : 46,7 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.

Modern Statistical and Mathematical Methods in Reliability

Alyson G. Wilson
Modern Statistical and Mathematical Methods in Reliability Book PDF

Author : Alyson G. Wilson
Publisher : World Scientific
Page : 430 pages
File Size : 42,8 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 Food Science and Technology

Daniel Granato,Gastón Ares
Mathematical and Statistical Methods in Food Science and Technology Book PDF

Author : Daniel Granato,Gastón Ares
Publisher : John Wiley & Sons
Page : 540 pages
File Size : 40,6 Mb
Release : 2014-03-03
Category : Technology & Engineering
ISBN : 9781118433683

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Mathematical and Statistical Methods in Food Science and Technology by Daniel Granato,Gastón Ares Pdf

Mathematical and Statistical Approaches in Food Science and Technology offers an accessible guide to applying statistical and mathematical technologies in the food science field whilst also addressing the theoretical foundations. Using clear examples and case-studies by way of practical illustration, the book is more than just a theoretical guide for non-statisticians, and may therefore be used by scientists, students and food industry professionals at different levels and with varying degrees of statistical skill.

Statistical Analysis of Reliability and Life-Testing Models

Lee Bain,Max Englehardt
Statistical Analysis of Reliability and Life Testing Models Book PDF

Author : Lee Bain,Max Englehardt
Publisher : CRC Press
Page : 518 pages
File Size : 45,7 Mb
Release : 1991-03-29
Category : Mathematics
ISBN : 0824785061

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Statistical Analysis of Reliability and Life-Testing Models by Lee Bain,Max Englehardt 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

Applied Reliability Engineering and Risk Analysis

Ilia B. Frenkel,Alex Karagrigoriou,Anatoly Lisnianski,Andre Kleyner
Applied Reliability Engineering and Risk Analysis Book PDF

Author : Ilia B. Frenkel,Alex Karagrigoriou,Anatoly Lisnianski,Andre Kleyner
Publisher : John Wiley & Sons
Page : 449 pages
File Size : 45,6 Mb
Release : 2013-08-22
Category : Technology & Engineering
ISBN : 9781118701898

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Applied Reliability Engineering and Risk Analysis by Ilia B. Frenkel,Alex Karagrigoriou,Anatoly Lisnianski,Andre Kleyner Pdf

This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field. With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris Gnedenko, one of the most prominent reliability scientists of the twentieth century. Key features include: expert treatment of probabilistic models and statistical inference from leading scientists, researchers and practitioners in their respective reliability fields detailed coverage of multi-state system reliability, maintenance models, statistical inference in reliability, systemability, physics of failures and reliability demonstration many examples and engineering case studies to illustrate the theoretical results and their practical applications in industry Applied Reliability Engineering and Risk Analysis is one of the first works to treat the important areas of degradation analysis, multi-state system reliability, networks and large-scale systems in one comprehensive volume. It is an essential reference for engineers and scientists involved in reliability analysis, applied probability and statistics, reliability engineering and maintenance, logistics, and quality control. It is also a useful resource for graduate students specialising in reliability analysis and applied probability and statistics. Dedicated to the Centennial of the birth of Boris Gnedenko, renowned Russian mathematician and reliability theorist

Mathematical and Statistical Models and Methods in Reliability

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

Author : V.V. Rykov,N. Balakrishnan,M.S. Nikulin
Publisher : Springer Science & Business Media
Page : 465 pages
File Size : 52,5 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.

Computational Methods for Reliability and Risk Analysis

Enrico Zio
Computational Methods for Reliability and Risk Analysis Book PDF

Author : Enrico Zio
Publisher : World Scientific
Page : 363 pages
File Size : 49,9 Mb
Release : 2009
Category : Technology & Engineering
ISBN : 9789812839015

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Computational Methods for Reliability and Risk Analysis by Enrico Zio Pdf

This book illustrates a number of modelling and computational techniques for addressing relevant issues in reliability and risk analysis. In particular, it provides: i) a basic illustration of some methods used in reliability and risk analysis for modelling the stochastic failure and repair behaviour of systems, e.g. the Markov and Monte Carlo simulation methods; ii) an introduction to Genetic Algorithms, tailored to their application for RAMS (Reliability, Availability, Maintainability and Safety) optimization; iii) an introduction to key issues of system reliability and risk analysis, like dependent failures and importance measures; and iv) a presentation of the issue of uncertainty and of the techniques of sensitivity and uncertainty analysis used in support of reliability and risk analysis.The book provides a technical basis for senior undergraduate or graduate courses and a reference for researchers and practitioners in the field of reliability and risk analysis. Several practical examples are included to demonstrate the application of the concepts and techniques in practice.