Mathematical And Statistical Models And Methods In Reliability

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Mathematical and Statistical Models and Methods in Reliability

Author : V.V. Rykov,N. Balakrishnan,M.S. Nikulin
Publisher : Springer Science & Business Media
Page : 465 pages
File Size : 47,6 Mb
Release : 2010-11-02
Category : Technology & Engineering
ISBN : 9780817649715

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Mathematical and Statistical Models and Methods in Reliability by V.V. Rykov,N. Balakrishnan,M.S. Nikulin Pdf

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,N Balakrishnan,M.S. Nikulin
Publisher : Birkhäuser
Page : 457 pages
File Size : 46,5 Mb
Release : 2011-03-04
Category : Technology & Engineering
ISBN : 0817649727

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Mathematical and Statistical Models and Methods in Reliability by V.V. Rykov,N Balakrishnan,M.S. Nikulin Pdf

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,Léo Gerville-Réache,Catherine Huber-Carol,Nikolaos Limnios,Mounir Mesbah
Publisher : John Wiley & Sons
Page : 437 pages
File Size : 52,6 Mb
Release : 2013-12-31
Category : Mathematics
ISBN : 9781848216198

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Statistical Models and Methods for Reliability and Survival Analysis by Vincent Couallier,Léo Gerville-Réache,Catherine Huber-Carol,Nikolaos Limnios,Mounir Mesbah Pdf

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.

Modern Statistical and Mathematical Methods in Reliability

Author : Alyson G. Wilson
Publisher : World Scientific
Page : 428 pages
File Size : 45,6 Mb
Release : 2005
Category : Mathematics
ISBN : 9789812703378

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Modern Statistical and Mathematical Methods in Reliability by Alyson G. Wilson Pdf

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 21OCo25, 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."

Mathematical and Statistical Methods in Reliability

Author : Bo Lindqvist,Kjell A. Doksum
Publisher : World Scientific
Page : 569 pages
File Size : 51,5 Mb
Release : 2003
Category : Mathematics
ISBN : 9789812383211

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Mathematical and Statistical Methods in Reliability by Bo Lindqvist,Kjell A. Doksum Pdf

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.

Reliability Modelling

Author : Linda C. Wolstenholme
Publisher : Routledge
Page : 272 pages
File Size : 46,9 Mb
Release : 2018-10-03
Category : Business & Economics
ISBN : 9781351419093

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Reliability Modelling by Linda C. Wolstenholme Pdf

Reliability is an essential concept in mathematics, computing, research, and all disciplines of engineering, and reliability as a characteristic is, in fact, a probability. Therefore, in this book, the author uses the statistical approach to reliability modelling along with the MINITAB software package to provide a comprehensive treatment of modelling, from the basics through advanced modelling techniques.The book begins by presenting a thorough grounding in the elements of modelling the lifetime of a single, non-repairable unit. Assuming no prior knowledge of the subject, the author includes a guide to all the fundamentals of probability theory, defines the various measures associated with reliability, then describes and discusses the more common lifetime models: the exponential, Weibull, normal, lognormal and gamma distributions. She concludes the groundwork by looking at ways of choosing and fitting the most appropriate model to a given data set, paying particular attention to two critical points: the effect of censored data and estimating lifetimes in the tail of the distribution.The focus then shifts to topics somewhat more difficult:the difference in the analysis of lifetimes for repairable versus non-repairable systems and whether repair truly ""renews"" the systemmethods for dealing with system with reliability characteristic specified for more than one component or subsystemthe effect of different types of maintenance strategiesthe analysis of life test dataThe final chapter provides snapshot introductions to a range of advanced models and presents two case studies that illustrate various ideas from throughout the book.

Mathematical and Statistical Methods in Reliability

Author : Bo H Lindqvist,Kjell A Doksum
Publisher : World Scientific
Page : 568 pages
File Size : 46,6 Mb
Release : 2003-10-10
Category : Mathematics
ISBN : 9789814486262

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Mathematical and Statistical Methods in Reliability by Bo H Lindqvist,Kjell A Doksum Pdf

This book contains extended versions of 34 carefully selected and reviewed papers presented at the Third International Conference on Mathematical Methods in Reliability, held in Trondheim, Norway in 2002. It provides a broad overview of current research activities in reliability theory and its applications. There are chapters on reliability modelling, network and system reliability, reliability optimization, survival analysis, degradation and maintenance modelling, and software reliability. The authors are all leading experts in the field. A particular feature of the book is a historical review by Professor Richard E Barlow, well known for his pioneering research on reliability. The list of authors also includes the plenary session speakers Odd O Aalen, Philip J Boland, Sallie A Keller-McNulty, and Nozer Singpurwalla. Contents:Reliability Theory in the Past and Present CenturiesGeneral Aspects of Reliability ModellingReliability of Networks and SystemsStochastic Modelling and Optimization in ReliabilityModelling in Survival and Reliability AnalysisStatistical Methods for Degradation DataStatistical Methods for Maintained SystemsStatistical Inference in Survival AnalysisSoftware Reliability Methods Readership: Graduate students, academics and professionals in probability & statistics, reliability analysis, survival analysis, industrial engineering, software engineering, operations research and applied mathematics research. Keywords:Applied Probability;Bayesian Analysis;Maintenance Modeling;Reliability Theory;Software Reliability;Statistical Inference;Survival Analysis

Reliability

Author : Lawrence M. Leemis
Publisher : Sutton Publishing
Page : 0 pages
File Size : 41,8 Mb
Release : 2009
Category : Mathematics
ISBN : 0692000275

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Reliability by Lawrence M. Leemis Pdf

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.

Statistical Analysis of Reliability and Life-Testing Models

Author : Lee Bain
Publisher : Routledge
Page : 280 pages
File Size : 47,5 Mb
Release : 2017-12-01
Category : Mathematics
ISBN : 9781351414647

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Statistical Analysis of Reliability and Life-Testing Models by Lee Bain Pdf

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

Statistical Models and Methods for Biomedical and Technical Systems

Author : Filia Vonta,M.S. Nikulin,Nikolaos Limnios,Catherine Huber-Carol
Publisher : Springer Science & Business Media
Page : 556 pages
File Size : 51,6 Mb
Release : 2008-03-05
Category : Medical
ISBN : 9780817646196

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Statistical Models and Methods for Biomedical and Technical Systems by Filia Vonta,M.S. Nikulin,Nikolaos Limnios,Catherine Huber-Carol Pdf

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.

Statistical and Probabilistic Models in Reliability

Author : Nikolaos Limnios,Dumitru Cezar Ionescu
Publisher : Springer Science & Business Media
Page : 369 pages
File Size : 42,8 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461217824

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Statistical and Probabilistic Models in Reliability by Nikolaos Limnios,Dumitru Cezar Ionescu Pdf

This volume consists of twenty-four papers selected by the editors from the sixty-one papers presented at the 1st International Conference on Mathemati cal Methods in Reliability held at the Politehnica University of Bucharest from 16 to 19 September 1997. The papers have been divided into three sections: statistical methods, probabilistic methods, and special techniques and appli cations. Of course, as with any classification, some papers could be as well assigned to other sections. Problems in reliability are encountered in items in everyday usage. Relia bility is an important feature of household appliances, cars, telephones, power supplies, and so on, whether viewed from the vantage of the producer or the consumer. Important decisions are based on the reliability of the product. Obtaining systems that perform adequately for a specified period of time in a given environment is an important goal for both government and industry. Hence study and use of reliability theory, which can be applied in the research, development, and production phases of a system to enable the user to evaluate and improve performance, is a worthwhile venture. If reliability theory is to be useful, it must be quantitative in nature, because reliability must be demonstra ble. Subsequently probability and statistics, among others, play an important part in its development.

Advances in Mathematical and Statistical Modeling

Author : Barry C. Arnold,N. Balakrishnan,Jose-Maria Sarabia Alegria,Roberto Minguez
Publisher : Springer Science & Business Media
Page : 368 pages
File Size : 45,5 Mb
Release : 2009-04-09
Category : Mathematics
ISBN : 9780817646264

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Advances in Mathematical and Statistical Modeling by Barry C. Arnold,N. Balakrishnan,Jose-Maria Sarabia Alegria,Roberto Minguez Pdf

Enrique Castillo is a leading figure in several mathematical and engineering fields. Organized to honor Castillo’s significant contributions, this volume is an outgrowth of the "International Conference on Mathematical and Statistical Modeling," and covers recent advances in the field. Applications to safety, reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques are presented.

Statistical Models and Methods for Lifetime Data

Author : Jerald F. Lawless
Publisher : John Wiley & Sons
Page : 662 pages
File Size : 40,7 Mb
Release : 2011-01-25
Category : Mathematics
ISBN : 9781118031254

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Statistical Models and Methods for Lifetime Data by Jerald F. Lawless Pdf

Praise for the First Edition "An indispensable addition to any serious collection on lifetime data analysis and . . . a valuable contribution to the statistical literature. Highly recommended . . ." -Choice "This is an important book, which will appeal to statisticians working on survival analysis problems." -Biometrics "A thorough, unified treatment of statistical models and methods used in the analysis of lifetime data . . . this is a highly competent and agreeable statistical textbook." -Statistics in Medicine The statistical analysis of lifetime or response time data is a key tool in engineering, medicine, and many other scientific and technological areas. This book provides a unified treatment of the models and statistical methods used to analyze lifetime data. Equally useful as a reference for individuals interested in the analysis of lifetime data and as a text for advanced students, Statistical Models and Methods for Lifetime Data, Second Edition provides broad coverage of the area without concentrating on any single field of application. Extensive illustrations and examples drawn from engineering and the biomedical sciences provide readers with a clear understanding of key concepts. New and expanded coverage in this edition includes: * Observation schemes for lifetime data * Multiple failure modes * Counting process-martingale tools * Both special lifetime data and general optimization software * Mixture models * Treatment of interval-censored and truncated data * Multivariate lifetimes and event history models * Resampling and simulation methodology

System Reliability Theory

Author : Arnljot Høyland,Marvin Rausand
Publisher : John Wiley & Sons
Page : 536 pages
File Size : 41,8 Mb
Release : 2009-09-25
Category : Technology & Engineering
ISBN : 9780470317747

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System Reliability Theory by Arnljot Høyland,Marvin Rausand Pdf

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.

Introduction to Reliability Analysis

Author : Shelemyahu Zacks
Publisher : Springer Science & Business Media
Page : 226 pages
File Size : 55,9 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461228547

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Introduction to Reliability Analysis by Shelemyahu Zacks Pdf

Reliability analysis is concerned with the analysis of devices and systems whose individual components are prone to failure. This textbook presents an introduction to reliability analysis of repairable and non-repairable systems. It is based on courses given to both undergraduate and graduate students of engineering and statistics as well as in workshops for professional engineers and scientists. As aresult, the book concentrates on the methodology of the subject and on understanding theoretical results rather than on its theoretical development. An intrinsic aspect of reliability analysis is that the failure of components is best modelled using techniques drawn from probability and statistics. Professor Zacks covers all the basic concepts required from these subjects and covers the main modern reliability analysis techniques thoroughly. These include: the graphical analysis of life data, maximum likelihood estimation and bayesian likelihood estimation. Throughout the emphasis is on the practicalities of the subject with numerous examples drawn from industrial and engineering settings.