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Probability, Reliability, and Statistical Methods in Engineering Design

2000 Mathematics
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Release : 2000
Genre : Mathematics
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Probability, Reliability, and Statistical Methods in Engineering Design by : Achintya Haldar

Download or read book Probability, Reliability, and Statistical Methods in Engineering Design written by Achintya Haldar. This book was released on 2000. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Engineering Design Reliability Applications

2007-09-19 Business & Economics
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Release : 2007-09-19
Genre : Business & Economics
Kind : eBook
Book Rating : 334/5 ( reviews)

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Book Synopsis Engineering Design Reliability Applications by : Efstratios Nikolaidis

Download or read book Engineering Design Reliability Applications written by Efstratios Nikolaidis. This book was released on 2007-09-19. Available in PDF, EPUB and Kindle. Book excerpt: In the current, increasingly aggressive business environment, crucial decisions about product design often involve significant uncertainty. Highlighting the competitive advantage available from using risk-based reliability design, Engineering Design Reliability Applications: For the Aerospace, Automotive, and Ship Industries provides an overview of

STATISTICAL METHODS FOR QUALITY, RELIABILITY AND MAINTAINABILITY

2012-05-16 Technology & Engineering
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Release : 2012-05-16
Genre : Technology & Engineering
Kind : eBook
Book Rating : 436/5 ( reviews)

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Book Synopsis STATISTICAL METHODS FOR QUALITY, RELIABILITY AND MAINTAINABILITY by : K. MURALIDHARAN

Download or read book STATISTICAL METHODS FOR QUALITY, RELIABILITY AND MAINTAINABILITY written by K. MURALIDHARAN. This book was released on 2012-05-16. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Reliability Engineering

2021-08-13 Technology & Engineering
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Release : 2021-08-13
Genre : Technology & Engineering
Kind : eBook
Book Rating : 046/5 ( reviews)

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Book Synopsis Statistical Reliability Engineering by : Hoang Pham

Download or read book Statistical Reliability Engineering written by Hoang Pham. This book was released on 2021-08-13. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author’s recent research and publications as well as experience of over 30 years in this field. The book covers a wide range of methods and models in reliability, and their applications, including: statistical methods and model selection for machine learning; models for maintenance and software reliability; statistical reliability estimation of complex systems; and statistical reliability analysis of k out of n systems, standby systems and repairable systems. Offering numerous examples and solved problems within each chapter, this comprehensive text provides an introduction to reliability engineering graduate students, a reference for data scientists and reliability engineers, and a thorough guide for researchers and instructors in the field.

Statistical Methods in Software Engineering

1999-08-05 Computers
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Release : 1999-08-05
Genre : Computers
Kind : eBook
Book Rating : 238/5 ( reviews)

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Book Synopsis Statistical Methods in Software Engineering by : Nozer D. Singpurwalla

Download or read book Statistical Methods in Software Engineering written by Nozer D. Singpurwalla. This book was released on 1999-08-05. Available in PDF, EPUB and Kindle. Book excerpt: In establishing a framework for dealing with uncertainties in software engineering, and for using quantitative measures in related decision-making, this text puts into perspective the large body of work having statistical content that is relevant to software engineering. Aimed at computer scientists, software engineers, and reliability analysts who have some exposure to probability and statistics, the content is pitched at a level appropriate for research workers in software reliability, and for graduate level courses in applied statistics computer science, operations research, and software engineering.

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