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Probability Reliability And Statistical Methods In Engineering Design
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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 and published by . This book was released on 2000 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text for a one-term course on Probability and Statistics intended primarily for civil engineering majors. Most often taught out of the Civil Engineering Department. Covers the key concepts and statistical techniques for assessing the reliability of structures and the risk factors in their design.
Book Synopsis Engineering Design Reliability Applications by : Efstratios Nikolaidis
Download or read book Engineering Design Reliability Applications written by Efstratios Nikolaidis and published by CRC Press. This book was released on 2007-09-19 with total page 374 pages. 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
Author :Nozer D. Singpurwalla Publisher :Springer Science & Business Media ISBN 13 :0387988238 Total Pages :316 pages Book Rating :4.3/5 (879 download)
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 and published by Springer Science & Business Media. This book was released on 1999-08-05 with total page 316 pages. 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.
Book Synopsis Statistical Reliability Engineering by : Boris Gnedenko
Download or read book Statistical Reliability Engineering written by Boris Gnedenko and published by John Wiley & Sons. This book was released on 1999-05-03 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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)
Book Synopsis Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition by : Bilal M. Ayyub
Download or read book Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition written by Bilal M. Ayyub and published by CRC Press. This book was released on 2011-06-17 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 problems is essential. Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition introduces the fundamentals of probability, statistics, reliability, and risk methods to engineers and scientists for the purposes of data and uncertainty analysis and modeling in support of decision making. The third edition of this bestselling text presents probability, statistics, reliability, and risk methods with an ideal balance of theory and applications. Clearly written and firmly focused on the practical use of these methods, it places increased emphasis on simulation, particularly as a modeling tool, applying it progressively with projects that continue in each chapter. This provides a measure of continuity and shows the broad use of simulation as a computational tool to inform decision making processes. This edition also features expanded discussions of the analysis of variance, including single- and two-factor analyses, and a thorough treatment of Monte Carlo simulation. The authors not only clearly establish the limitations, advantages, and disadvantages of each method, but also show that data analysis is a continuum rather than the isolated application of different methods. Like its predecessors, this book continues to serve its purpose well as both a textbook and a reference. Ultimately, readers will find the content of great value in problem solving and decision making, particularly in practical applications.
Book Synopsis System Reliability Theory by : Arnljot Høyland
Download or read book System Reliability Theory written by Arnljot Høyland and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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 and published by PHI Learning Pvt. Ltd.. This book was released on 2012-05-16 with total page 360 pages. 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.
Book Synopsis Statistical Methods for Engineers and Scientists by : Robert M. Bethea
Download or read book Statistical Methods for Engineers and Scientists written by Robert M. Bethea and published by Routledge. This book was released on 2018-04-20 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Engineering Design under Uncertainty and Health Prognostics by : Chao Hu
Download or read book Engineering Design under Uncertainty and Health Prognostics written by Chao Hu and published by Springer. This book was released on 2018-06-16 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art probabilistic methods for the reliability analysis and design of engineering products and processes. It seeks to facilitate practical application of probabilistic analysis and design by providing an authoritative, in-depth, and practical description of what probabilistic analysis and design is and how it can be implemented. The text is packed with many practical engineering examples (e.g., electric power transmission systems, aircraft power generating systems, and mechanical transmission systems) and exercise problems. It is an up-to-date, fully illustrated reference suitable for both undergraduate and graduate engineering students, researchers, and professional engineers who are interested in exploring the fundamentals, implementation, and applications of probabilistic analysis and design methods.
Book Synopsis Probability, Statistics, and Reliability for Engineers and Scientists by : Bilal M. Ayyub
Download or read book Probability, Statistics, and Reliability for Engineers and Scientists written by Bilal M. Ayyub and published by CRC Press. This book was released on 2016-04-19 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Reliability written by Lawrence M. Leemis and published by Sutton Publishing. This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: An elementary introduction to the probabilistic models and statistical methods used by reliability engineers as applied to, for example, electrical or mechanical systems. Leemis offers explanations of how the mathematical models and results apply to engineering design and the analysis of lifetime data sets, with simple, supplementary proofs and derivations provided when necessary. Applications are drawn from a variety of disciplines.
Book Synopsis Statistics and Probability with Applications for Engineers and Scientists by : Bhisham C. Gupta
Download or read book Statistics and Probability with Applications for Engineers and Scientists written by Bhisham C. Gupta and published by John Wiley & Sons. This book was released on 2013-04-29 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.
Book Synopsis Statistical Methods for Engineers and Scientists by : Robert M. Bethea
Download or read book Statistical Methods for Engineers and Scientists written by Robert M. Bethea and published by . This book was released on 1985 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revised and expanded edition of a text that is intended as a basic introductory course in applied statistical methods for students of engineering and the physical sciences at the undergraduate level. Theoretical developments and mathematical treatment of the principles involved are included as needed for understanding of the validity of the techniques presented. The major changes in this edition are a new chapter on statistical process control and reliability, several added nonparametric techniques, and 30 added problems. Annotation copyright by Book News, Inc., Portland, OR
Book Synopsis Reliability Engineering by : Joel A. Nachlas
Download or read book Reliability Engineering written by Joel A. Nachlas and published by CRC Press. This book was released on 2017-03-03 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Without proper reliability and maintenance planning, even the most efficient and seemingly cost-effective designs can incur enormous expenses due to repeated or catastrophic failure and subsequent search for the cause. Today’s engineering students face increasing pressure from employers, customers, and regulators to produce cost-efficient designs that are less prone to failure and that are safe and easy to use. The second edition of Reliability Engineering aims to provide an understanding of reliability principles and maintenance planning to help accomplish these goals. This edition expands the treatment of several topics while maintaining an integrated introductory resource for the study of reliability evaluation and maintenance planning. The focus across all of the topics treated is the use of analytical methods to support the design of dependable and efficient equipment and the planning for the servicing of that equipment. The argument is made that probability models provide an effective vehicle for portraying and evaluating the variability that is inherent in the performance and longevity of equipment. With a blend of mathematical rigor and readability, this book is the ideal introductory textbook for graduate students and a useful resource for practising engineers.
Book Synopsis Reliability in Engineering Design by : Kailash C. Kapur
Download or read book Reliability in Engineering Design written by Kailash C. Kapur and published by John Wiley & Sons. This book was released on 1977-04-18 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grasp the basics of reliability techniques in engineering design With an emphasis on the problem of quantifying reliability in product design and testing, Reliability in Engineering Design provides a complete overview of the topic. Beginning with an introduction to reliability, the text then proceeds in a logical manner through related, relevant topics. Discussed at length are terms and measures used in reliability testing, static reliability models, probabilistic approaches to design reliability, analysis of complex systems, and obtaining reliability estimates from test data. To provide a connection between theory and practice, simple design examples are utilized to fully describe and illustrate design reliability methodologies, making the text an excellent resource for both experienced engineers and those new to these reliability techniques.
Book Synopsis Practical Engineering Statistics by : Daniel Schiff
Download or read book Practical Engineering Statistics written by Daniel Schiff and published by John Wiley & Sons. This book was released on 1995-12-12 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: PRACTICAL ENGINEERING STATISTICS This lucidly written book offers engineers and advanced studentsall the essential statistical methods and techniques used inday-to-day engineering work. Without unnecessary digressions intoformal proofs or derivations, Practical Engineering Statisticsshows how to select the appropriate statistical method for aspecific task and then how to apply it correctly and confidently.Clear explanations supported by real-world examples lead the readerstep-by-step through each procedure. Topics covered include productdesign and development; estimations of the mean value andvariability of measured data; comparison of processes or products;the relationships between variables; and more. With its emphasis on practical use and its full range ofengineering applications, Practical Engineering Statistics servesas an indispensable, time-saving reference for all engineersworking in design, reliability, assurance, scheduling, andmanufacturing. PRACTICAL ENGINEERING STATISTICS While engineers are frequently involved in projects that requirethe application of statistical methods to analysis, prediction, andplanning, their background in statistics is often insufficient tothe task. In many cases the engineer has had little training instatistics beyond the concepts of the mean, the standard deviation,the median, and the quartile. Even those who have had one or morecourses in statistics will, at times, encounter problems which arebeyond their capacity to solve or understand. Practical Engineering Statistics is designed to give engineers theknowledge to select the statistical approach that is mostappropriate to the problem at hand and the skills to confidentlyapply this approach to specific cases. It provides the engineerwith the statistical tools needed to perform the job effectively,whether it is pro-duct design and development, estimation of themean value and variability of measured data, comparison ofprocesses or products, or the relationship between variables. Its authors bring two different areas of expertise to this uniquebook: statistics and engineering physics. In Practical EngineeringStatistics their collaboration has produced a book that clearlyleads engineers step-by-step through each procedure, withouttime-consuming and unnecessary discussions of proofs andderivations. Statistical procedures are discussed and explained indetail and demonstrated through real-world sample problems, withcorrect answers always provided. Readers learn how to determinewhich data represent true observations and which, through humanerror or flawed data, are false observations. Complex problems are presented with computer printouts of thedatabase, intermediate steps, and results. Numerous illustrationsand tables of all commonly used distributions enhance theusefulness of this invaluable book. Virtually all engineers and advanced students, especially those inmechanical, civil, electrical, aerospace, and chemical engineering,Practical Engineering Statistics is an indispensable reference thatwill give them the tools to do the statistical part of their workquickly and accurately.
Book Synopsis Statistics and Probability for Engineering Applications by : William DeCoursey
Download or read book Statistics and Probability for Engineering Applications written by William DeCoursey and published by Elsevier. This book was released on 2003-05-14 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course. This textbook minimizes the derivations and mathematical theory, focusing instead on the information and techniques most needed and used in engineering applications. It is filled with practical techniques directly applicable on the job. Written by an experienced industry engineer and statistics professor, this book makes learning statistical methods easier for today's student. This book can be read sequentially like a normal textbook, but it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem. Each new concept is clearly and briefly described, whenever possible by relating it to previous topics. Then the student is given carefully chosen examples to deepen understanding of the basic ideas and how they are applied in engineering. The examples and case studies are taken from real-world engineering problems and use real data. A number of practice problems are provided for each section, with answers in the back for selected problems. This book will appeal to engineers in the entire engineering spectrum (electronics/electrical, mechanical, chemical, and civil engineering); engineering students and students taking computer science/computer engineering graduate courses; scientists needing to use applied statistical methods; and engineering technicians and technologists. * Filled with practical techniques directly applicable on the job * Contains hundreds of solved problems and case studies, using real data sets * Avoids unnecessary theory
