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Practical Methods for Reliability Data Analysis [Oxford Statistical Science Seri
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eBay item number:156607742657
Item specifics
- Condition
- Book Title
- Practical Methods for Reliability Data Analysis (Oxford Statisti
- ISBN
- 9780198536642
About this product
Product Identifiers
Publisher
Oxford University Press, Incorporated
ISBN-10
019853664X
ISBN-13
9780198536642
eBay Product ID (ePID)
27038256117
Product Key Features
Number of Pages
256 Pages
Publication Name
Practical Methods for Reliability Data Analysis
Language
English
Subject
Mathematical Analysis
Publication Year
1994
Type
Textbook
Subject Area
Mathematics
Series
Oxford Statistical Science Ser.
Format
Hardcover
Dimensions
Item Height
0.8 in
Item Weight
19.4 Oz
Item Length
9.2 in
Item Width
6.1 in
Additional Product Features
Intended Audience
College Audience
LCCN
94-034309
Reviews
The reviewer believes that practitioners of reliability data analysis will find this book very useful.Zentralblatt fur Mathematik, "The book is rich on content, and the methods are illustrated using good practical examples. As such, the book should definitely be worth considering as a textbook for any college or industrial course on reliability."--Technometrics"As an overall assessment, this is a well-written, logically organized text that can be recommended to the serious reliability engineer. In a relatively compact amount of space, the authors deal in sufficient detail with topics typically presented in a graduate level reliability and life testing course." -- Journal of Quality Technology, "The book is rich on content, and the methods are illustrated using good practical examples. As such, the book should definitely be worth considering as a textbook for any college or industrial course on reliability."--Technometrics "As an overall assessment, this is a well-written, logically organized text that can be recommended to the serious reliability engineer. In a relatively compact amount of space, the authors deal in sufficient detail with topics typically presented in a graduate level reliability and life testing course." -- Journal of Quality Technology, 'There is no doubt that, although statistics are emphasized throughout the book, it is a valuable addition to reliability analysis. A welcome addition to every reliability engineer's bookshelf.'G.W.A. Dummer, Microelectronics and Reliability, 1995, 'There is no doubt that, although statistics are emphasized throughout the book, it is a valuable addition to reliability analysis. A welcome addition to every reliability engineer's bookshelf.'G.W.A. Dummer, Microelectronics and Reliability, 1995The reviewer believes that practitioners of reliability data analysis will find this book very useful.Zentralblatt fur Mathematik, "The book is rich on content, and the methods are illustrated using good practical examples. As such, the book should definitely be worth considering as a textbook for any college or industrial course on reliability."--Technometrics "As an overall assessment, this is a well-written, logically organized text that can be recommended to the serious reliability engineer. In a relatively compact amount of space, the authors deal in sufficient detail with topics typically presented in a graduate level reliability and life testing course." --Journal of Quality Technology, "The book is rich on content, and the methods are illustrated using good practical examples. As such, the book should definitely be worth considering as a textbook for any college or industrial course on reliability."-- Technometrics "As an overall assessment, this is a well-written, logically organized text that can be recommended to the serious reliability engineer. In a relatively compact amount of space, the authors deal in sufficient detail with topics typically presented in a graduate level reliability and life testing course." -- Journal of Quality Technology
Dewey Edition
20
Series Volume Number
14
Illustrated
Yes
Dewey Decimal
620/.00452
Table Of Content
1. Introduction to reliability2. Lifetime distributions3. Analysis of lifetimes with covariates4. System reliability5. Stochastic models for repairable systems6. Analysis of repairable systems7. Growth and adaptive models8. Dependency analysis9. Practical aspects of reliability data analysis10. Case studies in reliabilityBibliographyIndex
Synopsis
This practical introduction to the analysis of data collected from reliability studies offers clear, detailed explanations of the best and most up-to-date techniques available. Topics include survival analysis with covariates, the assessment of systems performance, reliability growth models, dependency (which encompasses both engineering and statistical approaches), and practical aspects of analysis. A wealth of interesting case studies appear throughout the text, lending "real-world" examples to the more theoretical discussions. Throughout, the authors stress the need for investigators to understand the background and nature of their data if they are to select the most appropriate analysis method. They also provide in-depth treatments of the mathematical and statistical bases underlying each technique. Accessible and comprehensive, the book will be welcomed by students, professionals, and statisticians who are interested in the practical aspects of reliability data analysis., This is a practical text for those who wish to analyse data from Reliability studies. The emphasis is on clear explanation of the techniques used, supported by extensive mathematical and statistical background and nature of the data before it is analysed. There are chapters on survival analysis, using illuminating case studies., This gives practical and extensive coverage of Reliability Data Analysis using real realiability data to illustrate the statistical methods. Survival analysis, growth models, dependency and systems behaviour are covered, with much background to assist the reader.
LC Classification Number
TA169.A66 1994
Item description from the seller
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