Probability, Reliability, and Statistical Methods in Engineering Design
Probability, Reliability, and Statistical Methods in Engineering Design

Author: Achintya Haldar

Publisher:

Published: 2000

Total Pages: 328

ISBN-13:

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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
Engineering Design Reliability Applications

Author: Efstratios Nikolaidis

Publisher: CRC Press

Published: 2007-09-19

Total Pages: 374

ISBN-13: 1420051334

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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 in Software Engineering
Statistical Methods in Software Engineering

Author: Nozer D. Singpurwalla

Publisher: Springer Science & Business Media

Published: 1999-08-05

Total Pages: 316

ISBN-13: 0387988238

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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.

System Reliability Theory
System Reliability Theory

Author: Arnljot Høyland

Publisher: John Wiley & Sons

Published: 2009-09-25

Total Pages: 536

ISBN-13: 0470317744

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A comprehensive introduction to reliability analysis. The first section provides a thorough but elementary prologue to reliability theory. The latter half comprises more advanced analytical tools including Markov processes, renewal theory, life data analysis, accelerated life testing and Bayesian reliability analysis. Features numerous worked examples. Each chapter concludes with a selection of problems plus additional material on applications.

Mechanical Reliability Improvement
Mechanical Reliability Improvement

Author: Robert Little

Publisher: CRC Press

Published: 2002-09-25

Total Pages: 650

ISBN-13: 9780824708122

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Providing probability and statistical concepts developed using pseudorandom numbers, this book covers enumeration-, simulation-, and randomization-based statistical analyses for comparison of the test performance of alternative designs, as well as simulation- and randomization-based tests for examination of the credibility of statistical presumptions. the book discusses centroid and moment of inertia analogies for mean and variance and the organization structure of completely randomized, randomized complete block, and split spot experiment test programs. Purchase of the text provides access to 200 microcomputer programs illustrating a wide range of reliability and statistical analyses.

Engineering Design Reliability Handbook
Engineering Design Reliability Handbook

Author: Efstratios Nikolaidis

Publisher: CRC Press

Published: 2004-12-22

Total Pages: 1216

ISBN-13: 0203483936

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Researchers in the engineering industry and academia are making important advances on reliability-based design and modeling of uncertainty when data is limited. Non deterministic approaches have enabled industries to save billions by reducing design and warranty costs and by improving quality. Considering the lack of comprehensive and defini

Statistical Reliability Engineering
Statistical Reliability Engineering

Author: Boris Gnedenko

Publisher: John Wiley & Sons

Published: 1999-05-03

Total Pages: 524

ISBN-13: 9780471123569

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Die Zuverlassigkeitsanalyse soll absichern, da? alle Komponenten eines Systems oder Produkts die Anforderungen an Funktionstuchtigkeit, -umfang und Budget erfullen. Alle wichtigen mathematischen Methoden, die in diesem Zusammenhang verwendet werden, stellt in diesem Buch einer der fuhrenden Spezialisten dieses Gebietes vor. Mit vielen realitatsnahen Beispielen und Fallstudien. (05/99)

Probability Distributions Used in Reliability Engineering
Probability Distributions Used in Reliability Engineering

Author: Andrew N O'Connor

Publisher: RIAC

Published: 2011

Total Pages: 220

ISBN-13: 1933904062

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The book provides details on 22 probability distributions. Each distribution section provides a graphical visualization and formulas for distribution parameters, along with distribution formulas. Common statistics such as moments and percentile formulas are followed by likelihood functions and in many cases the derivation of maximum likelihood estimates. Bayesian non-informative and conjugate priors are provided followed by a discussion on the distribution characteristics and applications in reliability engineering.

Probability, Statistics, and Reliability for Engineers and Scientists
Probability, Statistics, and Reliability for Engineers and Scientists

Author: Bilal M. Ayyub

Publisher: CRC Press

Published: 2016-04-19

Total Pages: 657

ISBN-13: 1439895333

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In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world p

Statistical Methods for Engineers and Scientists
Statistical Methods for Engineers and Scientists

Author: Robert M. Bethea

Publisher: Routledge

Published: 2018-04-20

Total Pages: 686

ISBN-13: 1351414372

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This work details the fundamentals of applied statistics and experimental design, presenting a unified approach to data handling that emphasizes the analysis of variance, regression analysis and the use of Statistical Analysis System computer programs. This edition: discusses modern nonparametric methods; contains information on statistical process control and reliability; supplies fault and event trees; furnishes numerous additional end-of-chapter problems and worked examples; and more.