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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.

Probability Applications in Mechanical Design

2000-06-15 Science
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Release : 2000-06-15
Genre : Science
Kind : eBook
Book Rating : 40X/5 ( reviews)

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Book Synopsis Probability Applications in Mechanical Design by : Franklin Fisher

Download or read book Probability Applications in Mechanical Design written by Franklin Fisher. This book was released on 2000-06-15. Available in PDF, EPUB and Kindle. Book excerpt: The authors of this text seek to clarify mechanical fatigue and design problems by applying probability and computer analysis, and further extending the uses of probability to determine mechanical reliability and achieve optimization. The work solves examples using commercially available software. It is formatted with examples and problems for use in a one-semester graduate course.

An Application of Probability to Engineering Design

1973 Engineering design
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Release : 1973
Genre : Engineering design
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis An Application of Probability to Engineering Design by : Otis Joseph Maddox Pinto

Download or read book An Application of Probability to Engineering Design written by Otis Joseph Maddox Pinto. This book was released on 1973. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Probability Theory With Engineering Applications

2021-08-05
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Release : 2021-08-05
Genre :
Kind : eBook
Book Rating : 257/5 ( reviews)

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Book Synopsis Introduction to Probability Theory With Engineering Applications by : Aly Farag

Download or read book Introduction to Probability Theory With Engineering Applications written by Aly Farag. This book was released on 2021-08-05. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Probability Theory with Engineering Applications provides students with a solid foundation in probability theory, which deals with the modeling of uncertainty, and illuminates several modern applications of probability in engineering, physics and data analysis. The text is organized into five chapters and three appendices. The opening chapter introduces the notion of probability as a model or representation for the uncertainty associated with statistical experiments. In additional chapters, students learn about random variables through explanations of discrete and continuous variables, conditional distribution, and statistical distribution. Students examine functions of one random variable, two random variables, and extensions to multivariable distributions. The final chapter covers random processes. Helpful appendices include six computer laboratories that correspond with the content in Chapters 2-5, assessment and review questions for each chapter, and basic results from linear algebra. The book is an ideal resource for courses in engineering, computer science, biomedicine, physics, and mathematics. It is also an excellent text for researchers seeking an overview in applied probability theory. It is assumed readers have a background in introductory calculus and computer programming.

Statistics and Probability for Engineering Applications

2003-05-14 Mathematics
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Release : 2003-05-14
Genre : Mathematics
Kind : eBook
Book Rating : 753/5 ( reviews)

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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. This book was released on 2003-05-14. 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

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