Introduction to Statistical Quality Control

Book Description

This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of both product and nonproduct situations. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation.

Customer Reviews:

Do not buy this CRAM book........2007-01-22

If you want to understand and pass a subject, you have to read the original book (here Introduction to Statistical Quality Control by Montgomery) and try to understand the examples and the concepts in the book. In addition you have to do several exercies in this book to reinforce this understanding. Studying some outlines, highlights and notes prepared by other people won't help you much.

Sacred Book on SQC.......2007-01-12

If you are looking to be well versed on the principle of Statistical Quality Control, then you need this book.

Great SPC book.......2004-08-14

Used this book in a graduate level course on SPC. The book and the excercises were interesting and highly informative, as are all of Dr. Montgomery's numerous texts. Most concepts are backed up with liberal examples to help understand the theory and cement the concept and their practical applications, and run the whole gamut from management to electrical engineering problems. Many of the tables in the back of the book, such as the random number table, are outdated due to computers, however these may have been dropped in the new version of the text.

good book worst service.......2004-06-30

the book is very good ..no doubt but the service is aweful.

1. on the website they show it is a hardcover book and so i ordered for it but got a soft cover book ...now i have to worry about return or refunds etc...

2. had to wait for 3 weeks to get the book.

3. print quality aweful ...the original book has good color print...the one i received for the same price has a black and white print with very thin see-through pages...

my advice would be to avoid abebooks.com through amazon if possible because the same book is listed for $ 33 on their own website and here they sell it for $ 41 ...so waste ur money if u want.

Everything You Ever Wanted to Know about SPC.......2003-09-12

As the developer of the QI Macros SPC Software for Excel, customers often call with exotic questions about statistical methods for quality control.

Montgomery's book, more often than not, is the one I turn to for answers that I can't seem to find anywhere else. Even if I do find the answer in another book, it's always easier to understand in Montgomery's. The book is written in a way that makes seemingly incomprehensible statistics understandable. And there are plenty of examples.

Book Description

Probabilistic risk analysis aims to quantify the risk caused by high technology installations in situations where classical statistical analysis is difficult or impossible. This book discusses the fundamental notion of uncertainty, its relationship with probability, and the limits to the quantification of uncertainty. Drawing on extensive experience in the theory and applications of risk analysis, the authors focus on the conceptual and mathematical foundations underlying the quantification, interpretation and management of risk. They cover standard topics as well as important new subjects such as the use of expert judgment and uncertainty propagation.

Customer Reviews:

I recommend!.......2007-01-12

A very clear text, what is not usual in this kind of book.

Reliability: Modeling, Prediction, and Optimization

Average customer rating:

Modern and practical guide to reliability analysis

Reliability: Modeling, Prediction, and Optimization
Wallace R. Blischke , and D. N. Prabhakar Murthy
Manufacturer: Wiley-Interscience
ProductGroup: Book
Binding: Hardcover

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Statistical Methods for Reliability Data (Wiley Series in Probability and Statistics)
Case Studies in Reliability and Maintenance (Wiley Series in Probability and Statistics)
System Reliability Theory: Models, Statistical Methods, and Applications, Second Edition

ASIN: 0471184500

Book Description

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.

Customer Reviews:

Modern and practical guide to reliability analysis.......2000-06-13

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.

System Reliability Theory: Models, Statistical Methods, and Applications, Second Edition

Average customer rating:

System Reliabiility Theory

System Reliability Theory: Models, Statistical Methods, and Applications, Second Edition
Marvin Rausand , and Arnljot Høyland
Manufacturer: Wiley-Interscience
ProductGroup: Book
Binding: Hardcover

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Practical Reliability Engineering
Basic Reliability: An introduction to Reliability Engineering
Statistical Methods for Reliability Data (Wiley Series in Probability and Statistics)
Introduction to Reliability and Maintainability Engineering
Reliability Engineering and Risk Analysis: A Practical Guide (QUALITY AND RELIABILITY)

ASIN: 047147133X

Book Description

Find in-depth discussions of dependability management and reliability centered systems as well as functional safety issues—matters critical to the new IEC standards. Of note in this new second edition are:

New chapters on Reliability of Maintained Systems and Reliability Assessment of Safety-Critical Systems
Introduction and discussion of basic assessment methods for operational availability and production regularity
An FTP site for solutions, overheads, and supplementary information

Customer Reviews:

System Reliabiility Theory.......2000-03-02

This is an excellent text for learning reliability analysis. It contains just the right mixture of material to be useful for a practicing engineer that must learn the reliability business in a hurry.

The book is very clear and fairly concise. There are worked examples to demonstrate how the theory should be applied and the examples are also clear and concise.

Book Description

More than any other book available, Risk Analysis in Engineering and Economics introduces the fundamental concepts, techniques, and applications of the subject in a style tailored to meet the needs of students and practitioners of engineering, science, economics, and finance. Drawing on his extensive experience in uncertainty and risk modeling and analysis, the author leads readers from the fundamental concepts through the theory, applications, and data requirements, sources, and collection. He emphasizes the practical use of the methods presented and carefully examines the limitations, advantages, and disadvantages of each. Case studies that incorporate the techniques discussed offer a practical perspective that helps readers clearly identify and solve problems encountered in practice. If you deal with decision-making under conditions of uncertainty, this book is required reading. The presentation includes more than 300 tables and figures, more than 100 examples, many case studies, and a wealth of end-of-chapter problems. Unlike the classical books on reliability and risk assessment, this book helps you relate underlying concepts to everyday applications and better prepares you to understand and use the methods of risk analysis.

Probability and Statistics with Reliability, Queueing, and Computer Science Applications, 2nd Edition

Average customer rating:

When theory and practical application go together
A Valuable and Indispensable Book.
An Excellent Statistics Book for CS Students
An extremely useful book
An extremely useful book

Probability and Statistics with Reliability, Queueing, and Computer Science Applications, 2nd Edition
Kishor Shridharbhai Trivedi
Manufacturer: Wiley-Interscience
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Binding: Hardcover

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Queueing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications
Computer Systems Performance Evaluation and Prediction
The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling
Algorithm Design
Probability and Statistics for Computer Science

ASIN: 0471333417

Book Description

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications

This updated and revised edition of the popular classic relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault tolerance, and performance.

This edition features an entirely new section on stochastic Petri nets?as well as new sections on system availability modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects. Extensive revisions take new developments in solution techniques and applications into account and bring this work totally up to date. It includes more than 200 worked examples and self-study exercises for each section.

Probability and Statistics with Reliability, Queuing and Computer Science Applications, Second Edition offers a comprehensive introduction to probability, stochastic processes, and statistics for students of computer science, electrical and computer engineering, and applied mathematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Customer Reviews:

When theory and practical application go together.......2006-07-31

This book from Prof. K. Trivedi is another great guide for the novice student and the expert researcher for modeling tools and techniques. It builds upon neatly explained concepts of probability, queuing and stochastic processes to provide a variety of examples of applications. It is definitely a book that one has to keep at hand, as it contains recipes for a huge number of performance and dependability evaluation needs. Besides the rich content, the structure and the presentation are great: a bit of theory and soon one example from practical life, the reader never gets lost but he is rather brought step by step to a comprehensive understanding of the topics.

A Valuable and Indispensable Book........2004-02-10

The "Probability and Statistics with Reliability, Queuing and Computer Science Applications - 2nd edition " by Kishor S. Trivedi is a valuable reference for students and professionals. Didactically organized the eleven chapters presents the core concepts of probability theory and stochastic processes in an accessible easy-to-understand approach. The rich set of examples and exercises, based on numerous computer science and engineering real world applications, allow the readers to build their knowledge gradually.
I would like to highlight the system reliability fundamentals covered and articulate with the remains topics.

An Excellent Statistics Book for CS Students.......2003-09-01

Second edition of "Probability and Statistics with Reliability, Queuing and Computer Science Applications" by Kishor S. Trivedi is a highly recommendable book. The concepts provided for probability theory and stochastic processes are excellent for students of communication, networking and computer science. It provides a good understanding of stochastic processes and Markov chains which are very relevant for students and teachers especially working in the speech processing area. I found the book and its contents very relevant and the examples provided could be very well related to networking and computer science, a unique aspect of this book. The students grasped the concepts well and found the problems very challenging and helpful in building up their concepts and knowledge. I had previously taught a number of other books and introduced this book last year at my University, I feel very satisfied and content with the decision of choosing this book for my students. All eleven chapters are equipped with excellent examples, problems and exercises broadening the reader's mind. The first 5 chapters constitute the probability theory while the rest of the chapters emphasize on stochastic processes very relevant to students of advanced networking and speech processing. Other books on probability and statistics usually lack an important aspect specially when used for computer science and telecommunication students. The examples and exercises not only make students learn and understand and probability and statistics concepts but also create its relevance to their very fields, therefore the book is an extremely precious gift from Prof. Trivedi specially for the students of computer science and telecommunication. An inexpensive Asian edition (paperback), a solution manual and powerpoint slides of each chapter are now available.

Prof. Trivedi has done a tremendous job in introducing topics of advanced research not found before; the students gained knowledge about the modern research environment and felt confident too. This book is not only recommended for beginners but also for professionals and engineers.

An extremely useful book.......2003-08-06

A very useful book. A good choice for somebody who is just starting to get a feel of the subject, or someone who is looking to build a strong foundation in the area. The best feature of this book is its lucid language. There are many books in the market, which cover a lot of material but, for the average reader, are very difficult to understand. The example-based approach coupled with a comprehensive material coverage are additional selling points. I would highly recommend this book

An extremely useful book.......2003-08-06

Applied Reliability, Second Edition (Electrical Engineering)

Average customer rating:

A very good book, but contains some annoying typing errors

Applied Reliability, Second Edition (Electrical Engineering)
Paul A. Tobias , and David C. Trindade
Manufacturer: Chapman & Hall/CRC
ProductGroup: Book
Binding: Hardcover

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Similar Items:

Applied Life Data Analysis (Wiley Series in Probability and Statistics)
Practical Reliability Engineering
Accelerated Testing and Validation
Practical Experiment Designs : for Engineers and Scientists, 3rd Edition
Statistical Methods for Reliability Data (Wiley Series in Probability and Statistics)

ASIN: 0442004699

Book Description

With over 170 pages of new material, the second edition of this widely used reference provides engineers and statisticians with an updated, easy-to-follow approach to evaluating and projecting component and system reliability by combining standard statistical methods with advanced leading-edge reliability techniques. It includes an extensive treatment of life distribution and accelerated testing models and data analysis and data simulation techniques, as well as quality control methods and algorithms used to predict component and assembly field reliability. The second edition includes three completely new chapters: two cover "Repairable System Reliability" (both for renewal and non-renewal models), with an emphasis on simple graphical techniques, while also describing analytical methods for reparable system data analysis. A third new chapter surveys areas such as reliability growth modeling, Bayesian reliability analysis, and field reliability monitoring programs. In addition, this latest edition offers hundreds of new examples, exercises, problems, and references-all designed to provide readers with additional support in understanding and applying the latest reliability testing methods. In bringing state-of-the-art techniques down to an accessible, how-to level, the second edition of Applied Reliability will serve the practical needs of electronic, mechanical, and industrial engineers involved in the design and manufacture of components and systems, and of statisticians and scientists working on applied reliability problems. It will also be a highly suitable textbook for engineering courses in applied reliability and quality control.

Customer Reviews:

A very good book, but contains some annoying typing errors.......1997-08-11

A book with a very application oriented treatment of reliability, based on electronics industries experience. It uses an advanced style of explanation, i.e. assumes that readers have mastered certain topics/knowledge/techniques in reliability. However, prerequisites for reading this book must be clearly stated; i.e. what basics are required, are the basics given in the books enough, etc. Some typos appear in description of table/figure (i.e. table 6.7 written as table 1.7). Also some computational errors appeared in the answers to selected problems. These are indeed small errors, however they detract from a good book's image. Especially for new students in reliability and would-be practicioners, the answers to the problems in the book are very necessary to provide concept/technique mastery and understanding check. Why do not the authors provide answers to ALL problems? One possible thing to add to the contents is the design of reliability experiments, i.e. the general concepts and some examples drawn from some areas of interest (mechanical, electrical).

Probability, Reliability, and Statistical Methods in Engineering Design

Average customer rating:

Simply superb !
This book is One of the Best

Probability, Reliability, and Statistical Methods in Engineering Design
Achintya Haldar , and Sankaran Mahadevan
Manufacturer: Wiley
ProductGroup: Book
Binding: Hardcover

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ASIN: 0471331198

Book Description

Learn the tools to assess product reliability! Haldar and Mahadevan crystallize the research and experience of the last few decades into the most up-to-date book on risk-based design concepts in engineering available. The fundamentals of reliability and statistics necessary for risk-based engineering analysis and design are clearly presented. And with the help of many practical examples integrated throughout the text, the material is made very relevant to today's practice. Key Features
* Covers all the fundamental concepts and mathematical skills needed to conduct reliability assessments.
* Presents the most widely-used reliability assessment methods.
* Concepts that are required for the implementation of risk-based design in practical problems are developed gradually.
* Both risk-based and deterministic design concepts are included to show the transition from traditional to modern design practice.

Customer Reviews:

Simply superb !.......2001-09-21

As a reliability engineer, I do a lot of probabilistic risk analysis and reliability based design for large systems like gas turbines, etc. From both a theoretical and applied perspective, this is an excellent text for those getting into this subject.

The book is written in a pleasing style, in which complex ideas are introduced in a manner than anyone (with no prior statistical training) can understand. It is a small book that packs a lot of information in it, and the companion volume by the same authors is another excellent text on the same topic. I particularly liked their treatment of LRFD methods and the FORM algorithms.

On the negative side, I found the algorithms described in Madsen's "Methods of structural safety" easier to implement. The authors might want to incorporate some of those methods in their next edition. They could also discuss approaches to model time-dependent reliability, apart from including empirical probability distributions in design.

Overall, I have read most of the texts out there in reliability-based design and this is clearly the best. It's an expensive book, but well worth the money !

This book is One of the Best.......2000-01-25

This book is among one of the best books in this subject. It captures all different aspects of probability, reliability and statistical methods in engineering design in one book with clear details and examples. The latest advancements in this area are also included in this book. I do recommend it for any engineering student taking courses in this area.

Reliability and Risk: A Bayesian Perspective (Wiley Series in Probability and Statistics)

Average customer rating:

The product of clear thinking and experience
Excellent Textbook from a student's point of view
A great book by Nozer Singpurwalla

Reliability and Risk: A Bayesian Perspective (Wiley Series in Probability and Statistics)
Nozer D. Singpurwalla
Manufacturer: Wiley
ProductGroup: Book
Binding: Hardcover

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Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statistics)
Bayesian Econometric Methods (Econometric Exercises)

ASIN: 0470855029

Book Description

We all like to know how reliable and how risky certain situations are, and our increasing reliance on technology has led to the need for more precise assessments than ever before. Such precision has resulted in efforts both to sharpen the notions of risk and reliability, and to quantify them. Quantification is required for normative decision-making, especially decisions pertaining to our safety and wellbeing. Increasingly in recent years Bayesian methods have become key to such quantifications.

Reliability and Risk provides a comprehensive overview of the mathematical and statistical aspects of risk and reliability analysis, from a Bayesian perspective. This book sets out to change the way in which we think about reliability and survival analysis by casting them in the broader context of decision-making. This is achieved by:

Providing a broad coverage of the diverse aspects of reliability, including: multivariate failure models, dynamic reliability, event history analysis, non-parametric Bayes, competing risks, co-operative and competing systems, and signature analysis.
Covering the essentials of Bayesian statistics and exchangeability, enabling readers who are unfamiliar with Bayesian inference to benefit from the book.
Introducing the notion of “composite reliability”, or the collective reliability of a population of items.
Discussing the relationship between notions of reliability and survival analysis and econometrics and financial risk.

Reliability and Risk can most profitably be used by practitioners and research workers in reliability and survivability as a source of information, reference, and open problems. It can also form the basis of a graduate level course in reliability and risk analysis for students in statistics, biostatistics, engineering (industrial, nuclear, systems), operations research, and other mathematically oriented scientists, wherein the instructor could supplement the material with examples and problems.

Customer Reviews:

The product of clear thinking and experience.......2007-01-12

You know that this is a book with a difference from the start, when the second and third chapters devote themselves entirely to justifying why probability, utility, exchangeability and indifference are the fundamental ideas behind risk and reliability.

Never heard of utility or exchangeability? If you do any Bayesian statistics at all, then shame on you and read Chapters 2 and 3 immediately! If you do not, then do not let this put you off reading further. This is a book on reliability with impressive intellectual weight. It not only tells you the what and how of reliability and risk analysis using Bayesian methods, but also the why. The why is a philosophical and a mathematical argument. For example, you think you know what the failure rate is? Prof. Singpurwalla begs to differ and spends 10 pages to convince you that there is a lot more to the failure rate once you start to think about it. You think you know why the exponential or the Weibull should be used? Well, the simplest assumption that you can make about any set of objects is that you are indifferent between them and such indifference can lead you to use the exponential or Weibull as models for reliability. This is the idea behind exchangeability and Prof. Singpurwalla argues why it is the simplest way to think about modelling and why it then justifies using Bayesian statistical methods.

The rest of the book is a plethora of probability models and inference methods for different problems in risk and reliability. Those models and problems are a summary of the author's work in reliability over 4 decades. There are chapters on stochastic models of failure (including the discussion on failure rates), on how to do Bayesian statistical inference for the common lifetime models such as exponential and Weibull, as well as common topics like accelerated tests and dose-response experiments and a chapter on signature analysis that describes the analysis of the power spectum for reliability. Then there are chapters look at survival in dynamic environments, point processes for events and non-parametric Bayes methods; technically more advanced topics that require a good knowledge of probability theory but, as always, clearly developed and explained. The last two chapters look at relatively new and 'hot' topics, those of the reliability of co-operative, competing and vague systems, and the use of reliability in econometrics and finance.

If you're looking for a book of reliability analysis recipes that you can follow without thinking, then this is not the book for you. If you want a book that carefully lays out a logical approach to risk and reliability modelling, inference and prediction, at a good yet clearly explained technical level and that illustrates the approach with applications to many different reliability problems, then this is the book that you've been waiting for.

Excellent Textbook from a student's point of view.......2006-10-18

This is the prescribed textbook for my Reliability & Risk Analysis class. I found this book to be very student-friendly and each topic is well motivated.

For beginners (like me), this book is a Gold Mine !!!

A great book by Nozer Singpurwalla.......2006-10-15

The book by Nozer Singpurwalla provides a clear introduction to the definition of "Probability", and the foundations on which the Probabilistic Framework is built. In almost every facet of today's life, Probability is dominant as a used concept. Although seemingly trivial to define in some simple cases such as cards or flipping a coin, much controversy prevailed over centuries on the topic of what is exactly meant by "Probability". The author Singpurwalla provides an extremely clear and abundant discussion of the subject, that is relevant at the introductory level as well as at the top level of the scientific community. This introduction is done in the context of Reliability and Risk Analysis, which makes it even easier to comprehend than in a more abstract setup. The book is worth buying on the basis of the second chapter alone "The Quantification of Uncertainty".

For the reader that is more versed into the subject, the author takes it to the highest level by introducing "Exchangeability and Indifference", a much specialized topic.

The author Nozer D. Singpurwalla being an expert authority in the subject of "Reliability", the crux of the book comes in chapters four (4) to ten (10) that offer a comprehensive review of the material in the field. The value of these chapters is in the author's expert selection of all the areas of value in Reliability and Risk Analysis. While many standard books present a linear listing of most techniques, Singpurwalla presents a collection of approaches that are classified through ther conceptual content and are meant to take a novice student to the expert level. While some of these concepts are explained in details, others are too complex to be detailed and are properly referenced. Of particular interest to an expert would be the part on the use of stochastic processes for modelling reliability. Not that many have attempted such a road.

Finally the last chapter introduces some of the Risk notions to the finance world. Although such a world is terribly complex and not so easily prone to successful modelling, this chapter nevertheless will open the avenue to fresh minds on how the Probabilistic Framework can be applied in diverse areas.

Throughout the whole book, a decision theoretic approach is outlined either explicitly or implicitly, as prescribed by the Bayesian paradigm.

Definitely an excellent contribution by a top expert. I was not surprised at all that three top scientist, Lindley, AFM Smith and Kadane offered their view on the book cover. A top book.

System Software Reliability (Springer Series in Reliability Engineering)

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System Software Reliability (Springer Series in Reliability Engineering)
Hoang Pham
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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Managing Risk: Methods for Software Systems Development
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ASIN: 1852339500

Book Description

Computer software reliability has never been more important. Today, computers are employed in areas as diverse as air traffic control, nuclear reactors, aircraft, real-time military, industrial process control, security system control, biometric scan-systems, automotive, mechanical and safety control, and hospital patient monitoring systems. Many of these applications require critical functionality as software applications increase in size and complexity.

System Software Reliability is an introduction to software reliability engineering as well as a detailed survey of the state-of-the-art techniques, methodologies and tools used to assess the reliability of software and combined software-hardware systems. The most recent research results in the field are reported and future directions in the subject are signposted.

This comprehensive text will be of interest to:

graduate students as an introduction to software reliability engineering and a textbook for graduate courses;
software and reliability engineers as a comprehensive and up-to-date survey of the field; and,
researchers and lecturers in universities and research institutions as a one-volume reference.

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