Practical System Reliability Review

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(More customer reviews)This book gives a great overview of the techniques, terminology, and approaches to building reliable systems and products. The techniques given there come from a long line and heritage in the telephony world for building real and highly-reliable systems. The strength of this book is that it explains the process that needs to be followed, as well as includes enough details of the major techniques and models so that you can determine which ones will apply to your project. This book pairs nicely with "Design for Reliability" Design for Reliability: Information and Computer-Based Systems which focuses more on building computer-based systems and IT systems. This book covers the overall problem and techniques without burying the reader in the details or mathematics of any particular technique, while still given enough details to understand the value and use of that technique.

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Learn how to model, predict, and manage system reliability/availability throughout the development life cycle
Written by a panel of authors with a wealth of industry experience, the methods and concepts presented here give readers a solid understanding of modeling and managing system and software availability and reliability through the development of real applications and products. The modeling and prediction techniques and tools are customer-focused and data-driven, and are also aligned with industry standards (Telcordia, TL 9000, ISO, etc.). Readers will get a clear understanding about what real-world reliability and availability mean through step-by-step discussions of:
System availability
Conceptual model of reliability and availability
Why availability varies between customers
Modeling availability
Estimating parameters and availability from field data
Estimating input parameters from laboratory data
Estimating input parameters in the architecture/design stage
Prediction accuracy
Connecting the dots

This book can be used by system architects, engineers, and developers to better understand and manage the reliability/availability of their products; quality engineers to grasp how software and hardware quality relate to system availability; and engineering students as part of a short course on system availability and software reliability.

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Reliability: Modeling, Prediction, and Optimization Review

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(More customer reviews)This text is an extensive and modern treatment of reliability with many practical case studies. It covers many of the standard topics including most of the topics covered in the recent book by Meeker and Escobar (1998) "Statistical Methods for Reliability Data". It is unique in its coverage of warranties (Chapter 17). These authors are very knowledgeable about the literature on warranty analysis and have edited the Product Warranty Handbook published by Marcel Dekker in 1996 and published their own text dedicated solely to that topic ("Warranty Cost Analysis" published by Marcel Dekker in 1994). Emphasis is placed on case studies which are discussed up front in the Overview chapter and treated in detail in Chapter 19.

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Bringing together business and engineering to reliability analysis With manufactured products exploding in numbers and complexity, reliability studies play an increasingly critical role throughout a product's entire life cycle-from design to post-sale support. Reliability: Modeling, Prediction, and Optimization presents a remarkably broad framework for the analysis of the technical and commercial aspects of product reliability, integrating concepts and methodologies from such diverse areas as engineering, materials science, statistics, probability, operations research, and management. Written in plain language by two highly respected experts in the field, this practical work provides engineers, operations managers, and applied statisticians with both qualitative and quantitative tools for solving a variety of complex, real-world reliability problems. A wealth of examples and case studies accompanies:* Comprehensive coverage of assessment, prediction, and improvement at each stage of a product's life cycle* Clear explanations of modeling and analysis for hardware ranging from a single part to whole systems* Thorough coverage of test design and statistical analysis of reliability data* A special chapter on software reliability* Coverage of effective management of reliability, product support, testing, pricing, and related topics* Lists of sources for technical information, data, and computer programs* Hundreds of graphs, charts, and tables, as well as over 500 references* PowerPoint slides are available from the Wiley editorial department.

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Reliability Physics and Engineering: Time-To-Failure Modeling Review

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(More customer reviews)This is an excellent Reliability Student's textbook with plenty of examples throughput the book and problems with answers at the end of each chapter. It is also an excellent reference book for the Reliability Professional with all the necessary equations, explanations, failure mechanisms and citations. I will be constantly referring to this book in my daily work as a Reliability Engineer.

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This book provides the basic Reliability Physics and Engineering tools that are needed by Electrical Engineers, Mechanical Engineers, Materials Scientists, and Applied Physicists to build better products. The material includes information for engineers to develop better methodologies for producing reliable product designs and materials selections to improve product reliability. Important statistical training and tools are contained within the text. The author emphasizes the physics of failure and the development of reliability engineering models for failure.The beginning of the book concentrates on device/materials degradation and the development of the critically important time-to-failure models. Since time-to-failure is a statistical process, the needed statistical tools are presented next along with failure-rate modeling. Following that the use of accelerated testing and the modeling of the acceleration factors are presented. The next section focuses on the effective use of these acceleration factors, during initial product-level testing and operation, in order to reduce the expected device failure rate in the field. The important time-to-failure models are presented next for Electrical Engineering applications. Likewise, the next section addresses important time-to-failure models for Mechanical Engineering applications. The final chapters provide both Electrical and Mechanical Engineers with design help specifically, conversion of dynamic/transient stresses into equivalent static forms, establishing aggressive but safe design rules, and the need to look very closely at design and process interactions.

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Modeling Survival Data: Extending the Cox Model (Statistics for Biology and Health) Review

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(More customer reviews)Terry Therneau is a research statistician at the Mayo Clinic and Patricia Grambsch is a Professor of Biostatistics at the University of Minnesota. The Cox proportional hazards model has been one of the key methods for analyzing survival data with covariates for the last 25 years. Proportionality is a key assumption that limits its use. There has long been a need to find methods which diagnose when the hazard rates are not proportional and provide alternative methods in such situations. Using the theory of counting processes the authors are able to extend the Cox model to more general situations including multiple/correlated event data using either marginal models or random effects (frailty) models. Time dependent covariates are also covered. Some of the theory of martigales and counting processes is included to make the book self-contained. Generalized residuals are used to identify outlying and influential observations (analogous to ordinary regression) and also to assess the proportional hazards assumption.
Although the topics are advanced and the mathematical level is high the book is designed for practitioners, emphasizing applications and providing numerous examples, many from the authors' experience. Statistical analyses are done in SAS and SPlus. The authors tend to use SAS for data management and analysis and SPlus for diagnostics and other plots. Therneau is an expert programmer who has written much of the necessary software in both systems.
Therneau gave an excellent short course that I attended a couple of years ago at the Joint Statistical Meetings based on a draft of the text. The finished product is as good as I expected.
The appendices include SAS and S-Plus tutorials on survival analysis and provide SAS Macros and S functions to apply the new methodology.
The book is now (December 2008) in its 6th printing which is another testament to its value and popularity and a nice deal at amazon's current price of $87. But O'Quigley's book is out now too. So maybe Terry and Patricia should be thinking about doing a revision if they don't already have one in the works.


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This book is for statistical practitioners, particularly those who design and analyze studies for survival and event history data. Building on recent developments motivated by counting process and martingale theory, it shows the reader how to extend the Cox model to analyze multiple/correlated event data using marginal and random effects. The focus is on actual data examples, the analysis and interpretation of results, and computation. The book shows how these new methods can be implemented in SAS and S-Plus, including computer code, worked examples, and data sets.

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