Statistical Methods For Reliability Data

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Statistical Methods For Reliability Data


Statistical Methods For Reliability Data
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Statistical Methods For Reliability Data


Statistical Methods For Reliability Data
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Author : William Q. Meeker
language : en
Publisher: Wiley-Interscience
Release Date : 1998-07-24

Statistical Methods For Reliability Data written by William Q. Meeker and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-07-24 with Mathematics categories.


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. 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 edge Simple examples of data analysis computed with the S-PLUS system-for which a suite of functions and commands is available over the Internet End-of-chapter, real-data exercise sets Hundreds 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. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon requestfrom the Wiley editorial department.

Statistical Methods For Reliability Data


Statistical Methods For Reliability Data
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Author : William Q. Meeker
language : en
Publisher: John Wiley & Sons
Release Date : 2014-08-21

Statistical Methods For Reliability Data written by William Q. Meeker and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-21 with Mathematics categories.


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. 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 edge Simple examples of data analysis computed with the S-PLUS system-for which a suite of functions and commands is available over the Internet End-of-chapter, real-data exercise sets Hundreds 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. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon requestfrom the Wiley editorial department.

Statistical Methods For Reliability Data


Statistical Methods For Reliability Data
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Author : William Q. Meeker
language : en
Publisher: John Wiley & Sons
Release Date : 2021-11-09

Statistical Methods For Reliability Data written by William Q. Meeker and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-09 with Mathematics categories.


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


Statistical Analysis Of Reliability Data
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Author : Martin J. Crowder
language : en
Publisher: Routledge
Release Date : 2017-11-13

Statistical Analysis Of Reliability Data written by Martin J. Crowder and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-13 with Business & Economics categories.


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.

Methods For Statistical Analysis Of Reliability And Life Data


Methods For Statistical Analysis Of Reliability And Life Data
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Author : Nancy R. Mann
language : en
Publisher: John Wiley & Sons Incorporated
Release Date : 1974

Methods For Statistical Analysis Of Reliability And Life Data written by Nancy R. Mann and has been published by John Wiley & Sons Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with Mathematics categories.




Statistical Methods For The Reliability Of Repairable Systems


Statistical Methods For The Reliability Of Repairable Systems
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Author : Steven E. Rigdon
language : en
Publisher: Wiley-Interscience
Release Date : 2000-04-14

Statistical Methods For The Reliability Of Repairable Systems written by Steven E. Rigdon and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-04-14 with Mathematics categories.


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.

Advanced Statistical Methods For Reliability Analysis


Advanced Statistical Methods For Reliability Analysis
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Author : William Q. Meeker
language : en
Publisher: Wiley-Blackwell
Release Date : 2021-04-05

Advanced Statistical Methods For Reliability Analysis written by William Q. Meeker and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-05 with categories.


This book improves Meeker and Escobar (1998, Wiley) not only in terms of organization and presentation, but also in extensions, modifications to the technical material, and advanced topic coverage (such as accelerated degradation and sensor, storage, and communications technology). It presents state-of-the-art, computer-based statistical methods for reliability data analysis, for test planning of industrial products, and for dynamic covariate information found on the Internet. It also improves long time 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. Bayesian methods in solving practical problems (e.g. models involving random effects or censoring that arises in reliability studies) are now incorporated where appropriate; the computations are done with WinBUGS. Ample exercises that extend and strengthen the concepts in the book are included. The criterion for integrating material in the book is that the authors have in-hand or have seen real applications for the methodology. The book is specifically geared for either a one-semester course on advanced topics in reliability theory in either a statistics or engineering department at the second-year graduate level or for researchers who need access to new and modern methodologies. R functions and subroutines, along with an extensive list of data sets, are included on a massive web site that is meticulously maintained by the authors.