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Mathematical and Statistical Models and Methods in Reliability

Author : V.V. Rykov

Publisher : Springer Science & Business Media

Page : 465 pages

File Size : 40,15 MB

Release : 2010-11-02

Category : Technology & Engineering

ISBN : 0817649719

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Book Description

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.



Mathematical and Statistical Models and Methods in Reliability

Author : V.V. Rykov

Publisher : Birkhäuser

Page : 457 pages

File Size : 24,40 MB

Release : 2011-03-04

Category : Technology & Engineering

ISBN : 9780817649722

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Book Description

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.



Statistical Models and Methods for Reliability and Survival Analysis

Author : Vincent Couallier

Publisher : John Wiley & Sons

Page : 437 pages

File Size : 20,30 MB

Release : 2013-12-31

Category : Mathematics

ISBN : 184821619X

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Book Description

Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as they discuss their applications providing up-to-date developments in methods used in survival analysis, statistical goodness of fit, stochastic processes for system reliability, amongst others. Many of these are related to the work of Professor M. Nikulin in statistics over the past 30 years. The authors gather together various contributions with a broad array of techniques and results, divided into three parts - Statistical Models and Methods, Statistical Models and Methods in Survival Analysis, and Reliability and Maintenance. The book is intended for researchers interested in statistical methodology and models useful in survival analysis, system reliability and statistical testing for censored and non-censored data.



Mathematical and Statistical Methods in Reliability

Author : Bo Lindqvist

Publisher : World Scientific

Page : 569 pages

File Size : 10,47 MB

Release : 2003

Category : Mathematics

ISBN : 9812383212

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Book Description

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.



Modern Statistical and Mathematical Methods in Reliability

Author : Alyson G. Wilson

Publisher : World Scientific

Page : 430 pages

File Size : 25,13 MB

Release : 2005

Category : Mathematics

ISBN : 9812563563

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Book Description

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. 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.



Statistical Models and Methods for Biomedical and Technical Systems

Author : Filia Vonta

Publisher : Springer Science & Business Media

Page : 556 pages

File Size : 11,16 MB

Release : 2008-03-05

Category : Medical

ISBN : 0817646191

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Book Description

This book deals with the mathematical aspects of survival analysis and reliability as well as other topics, reflecting recent developments in the following areas: applications in epidemiology; probabilistic and statistical models and methods in reliability; models and methods in survival analysis, longevity, aging, and degradation; accelerated life models; quality of life; new statistical challenges in genomics. The work will be useful to a broad interdisciplinary readership of researchers and practitioners in applied probability and statistics, industrial statistics, biomedicine, biostatistics, and engineering.



System Reliability Theory

Author : Arnljot Høyland

Publisher : John Wiley & Sons

Page : 536 pages

File Size : 38,32 MB

Release : 2009-09-25

Category : Technology & Engineering

ISBN : 0470317744

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Book Description

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.



Statistical Analysis of Reliability and Life-Testing Models

Author : Lee Bain

Publisher : Routledge

Page : 518 pages

File Size : 42,71 MB

Release : 2017-12-01

Category : Mathematics

ISBN : 135141464X

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Book Description

Textbook for a methods course or reference for an experimenter who is mainly interested in data analyses rather than in the mathematical development of the procedures. Provides the most useful statistical techniques, not only for the normal distribution, but for other important distributions, such a



Reliability

Author : Lawrence M. Leemis

Publisher : Sutton Publishing

Page : 0 pages

File Size : 21,82 MB

Release : 2009

Category : Mathematics

ISBN : 9780692000274

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Book Description

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.



Mathematical Models for Systems Reliability

Author : Benjamin Epstein

Publisher : CRC Press

Page : 270 pages

File Size : 33,21 MB

Release : 2008-05-09

Category : Business & Economics

ISBN : 1420080830

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Book Description

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