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Mathematical Models for Systems Reliability

2008-05-09 Business & Economics
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Release : 2008-05-09
Genre : Business & Economics
Kind : eBook
Book Rating : 830/5 ( reviews)

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Book Synopsis Mathematical Models for Systems Reliability by : Benjamin Epstein

Download or read book Mathematical Models for Systems Reliability written by Benjamin Epstein. This book was released on 2008-05-09. Available in PDF, EPUB and Kindle. Book excerpt: Evolved from the lectures of a recognized pioneer in developing the theory of reliability, Mathematical Models for Systems Reliability provides a rigorous treatment of the required probability background for understanding reliability theory. This classroom-tested text begins by discussing the Poisson process and its associated probability

Mathematical Models for the Study of the Reliability of Systems

1977-09-27 Computers
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Release : 1977-09-27
Genre : Computers
Kind : eBook
Book Rating : 335/5 ( reviews)

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Book Synopsis Mathematical Models for the Study of the Reliability of Systems by : Cruon

Download or read book Mathematical Models for the Study of the Reliability of Systems written by Cruon. This book was released on 1977-09-27. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Models for the Study of the Reliability of Systems

Introduction to System Reliability Theory

2021-10-03 Mathematics
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Release : 2021-10-03
Genre : Mathematics
Kind : eBook
Book Rating : 539/5 ( reviews)

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Book Synopsis Introduction to System Reliability Theory by : Jorge Navarro

Download or read book Introduction to System Reliability Theory written by Jorge Navarro. This book was released on 2021-10-03. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides the tools for a modern post-graduate introductory course on system reliability theory. It focuses on probabilistic aspects of the theory, including recent results based on signatures, stochastic orders, aging classes, copulas and distortion (or aggregation) functions. The reader requires on an introductory knowledge on probability theory and mathematics. The book serves both for graduate students in mathematics and for engineering students in various disciplines as well as students learning survival analysis, network reliability or simple game theory. Included also are brief introductions to the basic aspects of lifetime modelling, stochastic comparisons, aging classes, mixtures and copula theory. The book develops this knowledge with worked examples and supplies code for the program R so that students can explore its lessons and techniques.

Mathematical models for the study of the reliability of systems

1977
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Release : 1977
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Mathematical models for the study of the reliability of systems by : Arnold Kaufmann

Download or read book Mathematical models for the study of the reliability of systems written by Arnold Kaufmann. This book was released on 1977. Available in PDF, EPUB and Kindle. Book excerpt:

Mathematical and Statistical Models and Methods in Reliability

2010-11-02 Technology & Engineering
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Release : 2010-11-02
Genre : Technology & Engineering
Kind : eBook
Book Rating : 719/5 ( reviews)

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Book Synopsis Mathematical and Statistical Models and Methods in Reliability by : V.V. Rykov

Download or read book Mathematical and Statistical Models and Methods in Reliability written by V.V. Rykov. This book was released on 2010-11-02. Available in PDF, EPUB and Kindle. Book excerpt: The book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by renowned experts in the field of reliability, the contributions cover a wide range of applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation. Mathematical and Statistical Models and Methods in Reliability is an excellent reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence.

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