Mathematical Methods Of Reliability Theory
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Author |
: B. V. Gnedenko |
Publisher |
: Academic Press |
Total Pages |
: 519 |
Release |
: 2014-06-20 |
ISBN-10 |
: 9781483263519 |
ISBN-13 |
: 1483263517 |
Rating |
: 4/5 (19 Downloads) |
Synopsis Mathematical Methods of Reliability Theory by : B. V. Gnedenko
Mathematical Methods of Reliability Theory discusses fundamental concepts of probability theory, mathematical statistics, and an exposition of the relationships among the fundamental quantitative characteristics encountered in the theory. The book deals with the set-theoretic approach to reliability theory and the central concepts of set theory to the phenomena. It also presents methods of finding estimates for reliability parameters based on observations and methods of testing reliability hypotheses. Based on mathematical statistics, the book also explains formulation of some selected results. It presents a method that increases the reliability of manufactured articles—redundancy. An important part of product quality control is the standards of acceptance-sampling plans which require simplicity, wide content for flexibility, comprehensive characteristics, and variability. The book also tackles economical and rational methods of sampling inspections, highlighting the need for a correct evaluation of environmental conditions—the factors which predetermine the choice of the inspection method. The book then explains how to estimate the efficiency of the operation of the sampling plan after its selection. The book can be helpful for engineers, mathematicians, economists, or industrial managers, as well as for other professionals who work in the technological, political, research, structural, and physico-chemical areas.
Author |
: Sallie Keller-mcnulty |
Publisher |
: World Scientific |
Total Pages |
: 428 |
Release |
: 2005-10-03 |
ISBN-10 |
: 9789814480253 |
ISBN-13 |
: 9814480258 |
Rating |
: 4/5 (53 Downloads) |
Synopsis Modern Statistical And Mathematical Methods In Reliability by : Sallie Keller-mcnulty
This volume contains extended versions of 28 carefully selected and reviewed papers presented at The Fourth International Conference on Mathematical Methods in Reliability in Santa Fe, New Mexico, June 21-25, 2004, the leading conference in reliability research. The meeting serves as a forum for discussing fundamental issues on mathematical methods in reliability theory and its applications.A broad overview of current research activities in reliability theory and its applications is provided with coverage on reliability modeling, network and system reliability, Bayesian methods, survival analysis, degradation and maintenance modeling, and software reliability. The contributors are all leading experts in the field and include the plenary session speakers, Tim Bedford, Thierry Duchesne, Henry Wynn, Vicki Bier, Edsel Pena, Michael Hamada, and Todd Graves.
Author |
: Bo Lindqvist |
Publisher |
: World Scientific |
Total Pages |
: 569 |
Release |
: 2003 |
ISBN-10 |
: 9789812383211 |
ISBN-13 |
: 9812383212 |
Rating |
: 4/5 (11 Downloads) |
Synopsis Mathematical and Statistical Methods in Reliability by : Bo Lindqvist
This book contains extended versions of carefully selected and reviewed papers presented at the Third International Conference on Mathematical Methods in Reliability, held in Norway in 2002. It provides an overview of current research activities in reliability theory. The authors are all leading experts in the field. Readership: Graduate students, academics and professionals in probability & statistics, reliability analysis, survival analysis, industrial engineering, software engineering, operations research and applied mathematics research.
Author |
: V.V. Rykov |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 465 |
Release |
: 2010-11-02 |
ISBN-10 |
: 9780817649715 |
ISBN-13 |
: 0817649719 |
Rating |
: 4/5 (15 Downloads) |
Synopsis Mathematical and Statistical Models and Methods in Reliability by : V.V. Rykov
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.
Author |
: Richard E. Barlow |
Publisher |
: SIAM |
Total Pages |
: 271 |
Release |
: 1996-01-01 |
ISBN-10 |
: 9780898713695 |
ISBN-13 |
: 0898713692 |
Rating |
: 4/5 (95 Downloads) |
Synopsis Mathematical Theory of Reliability by : Richard E. Barlow
This monograph presents a survey of mathematical models useful in solving reliability problems. It includes a detailed discussion of life distributions corresponding to wearout and their use in determining maintenance policies, and covers important topics such as the theory of increasing (decreasing) failure rate distributions, optimum maintenance policies, and the theory of coherent systems. The emphasis throughout the book is on making minimal assumptions - and only those based on plausible physical considerations - so that the resulting mathematical deductions may be safely made about a large variety of commonly occurring reliability situations. The first part of the book is concerned with component reliability, while the second part covers system reliability, including problems that are as important today as they were in the 1960s. The enduring relevance of the subject of reliability and the continuing demand for a graduate-level book on this topic are the driving forces behind its re-publication.
Author |
: Arnljot Høyland |
Publisher |
: John Wiley & Sons |
Total Pages |
: 536 |
Release |
: 2009-09-25 |
ISBN-10 |
: 9780470317747 |
ISBN-13 |
: 0470317744 |
Rating |
: 4/5 (47 Downloads) |
Synopsis System Reliability Theory by : Arnljot Høyland
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.
Author |
: Benjamin Epstein |
Publisher |
: CRC Press |
Total Pages |
: 270 |
Release |
: 2008-05-09 |
ISBN-10 |
: 9781420080834 |
ISBN-13 |
: 1420080830 |
Rating |
: 4/5 (34 Downloads) |
Synopsis Mathematical Models for Systems Reliability by : Benjamin Epstein
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
Author |
: V.V. Rykov |
Publisher |
: Birkhäuser |
Total Pages |
: 457 |
Release |
: 2011-03-04 |
ISBN-10 |
: 0817649727 |
ISBN-13 |
: 9780817649722 |
Rating |
: 4/5 (27 Downloads) |
Synopsis Mathematical and Statistical Models and Methods in Reliability by : V.V. Rykov
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.
Author |
: Boris Vladimirovich Gnedenko |
Publisher |
: |
Total Pages |
: 506 |
Release |
: 1969 |
ISBN-10 |
: LCCN:68018669 |
ISBN-13 |
: |
Rating |
: 4/5 (69 Downloads) |
Synopsis Mathematical Methods of Reliability Theory by : Boris Vladimirovich Gnedenko
Author |
: Anatoly Lisnianski |
Publisher |
: Springer |
Total Pages |
: 378 |
Release |
: 2017-08-12 |
ISBN-10 |
: 9783319634234 |
ISBN-13 |
: 3319634232 |
Rating |
: 4/5 (34 Downloads) |
Synopsis Recent Advances in Multi-state Systems Reliability by : Anatoly Lisnianski
This book addresses a modern topic in reliability: multi-state and continuous-state system reliability, which has been intensively developed in recent years. It offers an up-to-date overview of the latest developments in reliability theory for multi-state systems, engineering applications to a variety of technical problems, and case studies that will be of interest to reliability engineers and industrial managers. It also covers corresponding theoretical issues, as well as case studies illustrating the applications of the corresponding theoretical advances. The book is divided into two parts: Modern Mathematical Methods for Multi-state System Reliability Analysis (Part 1), and Applications and Case Studies (Part 2), which examines real-world multi-state systems. It will greatly benefit scientists and researchers working in reliability, as well as practitioners and managers with an interest in reliability and performability analysis. It can also be used as a textbook or as a supporting text for postgraduate courses in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Applied Mathematics, and Operations Research.