Recent Advances in Multi-state Systems Reliability: Theory and Applications (Springer Series in Reliability Engineering). Este artículo no está disponible.
Idioma: inglés
Editorial: Springer, 2018
Serie: Libro 57 de 90 - Springer Series in Reliability Engineering
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Descripción del artículo del vendedor
reprint edition. 392 pages. 9.25x6.10x0.89 inches. In Stock.
N° de ref. del artículo __3319875523
- Título
- Recent Advances in Multi-state Systems Reliability: Theory and Applications (Springer Series in Reliability Engineering)
- Autor
- Lisnianski, Anatoly (Editor) / Frenkel, Ilia (Editor) / Karagrigoriou, Alex (Editor)
- Editorial
- Springer
- Año de publicación
- 2018
- Estado
- Brand New
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 10
- 3319875523
- ISBN 13
- 9783319875521
- Peso del artículo
- 0,6 kilogramos
- Serie
- Libro 57 de 90: Springer Series in Reliability Engineering
Addresses a modern topic in reliability: multi-state and continuous-state system reliability, which has been intensively developed in recent years
Covers corresponding theoretical issues as well as practically important case studies illustrating applications of the corresponding theoretical advances
Written by the leading experts in the field
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Acerca del autor
Anatoly Lisnianski is an engineering expert at the Reliability Department of the Israel Electric Corporation Ltd., an adjunct senior lecturer at Haifa University, and scientific supervisor of the Centre for Reliability and Risk Management at Shamoon College of Engineering, Israel. He received his MSc degree (1975) in Electrical Engineering from the University of Information Technology, Precision Mechanics and Optics, St. Petersburg, and his PhD degree (1984) in Reliability from the Federal Scientific & Production Centre “Aurora” in St. Petersburg, where he served as a senior researcher until 1989. Since 1991 he has been working at the Israel Electric Corporation, Haifa, Israel, where he has specialized in reliability and applied probability. He is a Senior Member of the IEEE and Member of the Israel Society of Quality and Israel Statistical Association. He is the author or co-author of more than 150 research papers in the field of reliability and applied probability and co-author of two books.
Alex Karagrigoriou is a Professor of Probability and Statistics and Director of Graduate Studies in Statistics and Actuarial-Financial Mathematics at the Department of Mathematics of the University of the Aegean, Greece. He studied at the University of Maryland, USA (MA, 1988, PhD, 1992), worked at the United States Department of Agriculture (USDA) and the Institute of Statistical Sciences, Taiwan, and taught at the Universities of Maryland, Athens, Aegean, Cyprus and Hellenic Open University. His research activities cover areas such as statistical modeling, model selection criteria, biostatistics, information theory, time series analysis, stochastic modeling, economic demography, finance and reliability theory. He has published over 100 research articles and has extensive experience in the design and execution of research projects involving the statistical analysis of medical, biomedical, technological, socioeconomic and economic data.
Ilia Frenkel is the Chair of the Center for Reliability and Risk Management and a Senior Lecturer at the Industrial Engineering and Management Department, Shamoon College of Engineering, Israel. He received his MSc in Applied Mathematics from Voronezh State University, Russia, and his PhD in Operational Research and Computer Science from the Institute of Economy, Ukrainian Academy of Science, former USSR. He has more than 40 years of academic and teaching experience at universities and institutions in Russia and Israel.
He has specialized in applied statistics and reliability with applications to preventive maintenance. He is an Editor and a member of the editorial board for numerous scientific and professional journals.
He has published one book and more than 50 scientific articles and book chapters in the fields of reliability, applied statistics, and production and operation management.
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