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Failure Rate Modelling for Reliability and Risk: Springer Series in Reliability Engineering

Autor Maxim Finkelstein
en Limba Engleză Hardback – dec 2008
“Failure Rate Modeling for Reliability and Risk” focuses on reliability theory, and to the failure rate (hazard rate, force of mortality) modeling and its generalizations to systems operating in a random environment and to repairable systems. The failure rate is one of the crucial probabilistic characteristics for a number of disciplines; including reliability, survival analysis, risk analysis and demography. The book presents a systematic study of the failure rate and related indices, and covers a number of important applications where the failure rate plays the major role. Applications in engineering systems are studied, together with some actuarial, biological and demographic examples. The book provides a survey of this broad and interdisciplinary subject which will be invaluable to researchers and advanced students in reliability engineering and applied statistics, as well as to demographers, econometricians, actuaries and many other mathematically oriented researchers.
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Specificații

ISBN-13: 9781848009851
ISBN-10: 1848009852
Pagini: 304
Ilustrații: XII, 290 p.
Dimensiuni: 160 x 241 x 22 mm
Greutate: 0.57 kg
Ediția:2008
Editura: Springer
Colecția Springer Series in Reliability Engineering
Seria Springer Series in Reliability Engineering

Locul publicării:London, United Kingdom

Public țintă

Research

Cuprins

Failure Rate and Mean Remaining Lifetime.- More on Exponential Representation.- Point Processes and Minimal Repair.- Virtual Age and Imperfect Repair.- Mixture Failure Rate Modelling.- Limiting Behaviour of Mixture Failure Rates.- ‘Constructing’ the Failure Rate.- Failure Rate of Software.- Demographic and Biological Applications.

Notă biografică

Dr. Ji Hwan Cha received his B.S. degree in Computer Science and Statistics from Seoul National University, Korea, in 1993 and his M.S. and Ph.D. degrees in Statistics from Seoul National University in 1995 and 1999, respectively.
He is a Professor at the Department of Statistics and Ewha Fellow (similar to "Distinguished Professor"), Ewha Womans University, Seoul, Korea. He is an Associate Editor of Journal of the Korean Statistical Society. He has published more than 70 papers in various international journals and two books on Introductory Statistics and Reliability Theory, respectively (in Korean). His research interests include applied probability, reliability theory, stochastic processes, survival analysis, multivariate distribution theory, life insurance, demography, operations research, management science. His book "Stochastic modelling for reliability: Shocks, burn-in and heterogeneous populations" (co-authored with Dr. Finkelstein) was published by Springer in 2013.
Dr. Maxim Finkelstein received his M.Sc in Mathematical Physics from Leningrad State University (1971), Ph.D in OR from Leningrad Elektropribor Institute, 1979 and Doctor of Science (habilitation) in OR from St.-Petersburg Elektropribor Institute (1993). From 1971 till 1998 he was with the Saint Petersburg Elektropribor Institute (the leading Russian company in the field of navigation and control systems).
Currently he is a Distinguished Professor at the Department of Mathematical Statistics, University of the Free State, Republic of South Africa and a visiting professor at the Max Planck Institute for Demographic Research, Rostock, Germany and at the ITMO University, St. Petersburg, Russia.
His more than 40 years of professional experience combines academic skills and expertise with those of a researcher in industry. This combination is very helpful for this book.
His main research interests are: reliabilitytheory and applications, survival analysis, risk and safety modelling, applied stochastic processes.
He has published more than 180 papers and 5 books on different aspects of reliability and stochastics. His last two books "Failure rate modelling for reliability and risk" and "Stochastic modelling for reliability: Shocks, burn-in and heterogeneous populations" (co-authored with Dr. Cha) were published by Springer in 2008 and 2013, respectively.

Textul de pe ultima copertă

Failure Rate Modelling for Reliability and Risk focuses on reliability theory and, specifically, on the failure rate (the hazard rate, the force of mortality) modelling and its generalizations, on systems operating in a random environment and on repairable systems. The failure rate is one of the crucial probabilistic characteristics for a number of disciplines; including reliability, survival analysis, risk analysis and demography.
Failure Rate Modelling for Reliability and Risk presents a systematic study of the failure rate and related indices, and covers a number of important applications where the failure rate plays the major role. Applications in engineering systems are studied, together with some actuarial, biological and demographic examples.
Covering material previously available only in the journal literature, Failure Rate Modelling for Reliability and Risk provides a survey of this broad and interdisciplinary subject which will be invaluable to researchers and advanced students in reliability engineering and applied statistics, as well as to demographers, econometricians, actuaries and many other mathematically oriented researchers.

Caracteristici

Provides a systematic study of the failure rate and related indices Includes supplementary material: sn.pub/extras