Practical Approaches to Reliability Theory in Cutting-Edge Applications
Probabilistic Reliability Models helps readers understand and properly use statistical methods
and optimal resource allocation to solve engineering problems.
The author supplies engineers with a deeper understanding of mathematical models while also
equipping mathematically oriented readers with a fundamental knowledge of the engineeringrelated
applications at the center of model building. The book showcases the use of probability
theory and mathematical statistics to solve common, real-world reliability problems. Following
an introduction to the topic, subsequent chapters explore key systems and models including:
• Unrecoverable objects and recoverable systems
• Methods of direct enumeration
• Markov models and heuristic models
• Performance effectiveness
• Time redundancy
• System survivability
• Aging units and their related systems
• Multistate systems
Detailed case studies illustrate the relevance of the discussed methods to real-world technical
projects including software failure avalanches, gas pipelines with underground storage, and
intercontinental ballistic missile (ICBM) control systems. Numerical examples and detailed
explanations accompany each topic, and exercises throughout allow readers to test their
comprehension of the presented material.
Probabilistic Reliability Models is an excellent book for statistics, engineering, and operations
research courses on applied probability at the upper-undergraduate and graduate levels. The
book is also a valuable reference for professionals and researchers working in industry who
would like a mathematical review of reliability models and the relevant applications.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
IGOR USHAKOV, PhD, is Senior Consultant at Advanced Logistics Developments in Tel Aviv, Israel. He has published extensively in his areas of research interest, which include operations research, applied statistics, and probabilistic modeling. Dr. Ushakov is the author of Handbook of Reliability Engineering as well as the coauthor of Probabilistic Reliability Engineering and Statistical Reliability Engineering, all published by Wiley.
Practical approaches to reliability theory in cutting-edge applications
Probabilistic Reliability Models helps readers understand and properly use statistical methods and optimal resource allocation to solve engineering problems.
The author supplies engineers with a deeper understanding of mathematical models while also equipping mathematically oriented readers with a fundamental knowledge of the engineering-related applications at the center of model building. The book showcases the use of probability theory and mathematical statistics to solve common, real-world reliability problems. Following an introduction to the topic, subsequent chapters explore key systems and models including:
Detailed case studies illustrate the relevance of the discussed methods to real-world technical projects including software failure avalanches, gas pipelines with underground storage, and intercontinental ballistic missile (ICBM) control systems. Numerical examples and detailed explanations accompany each topic, and exercises throughout allow readers to test their comprehension of the presented material.
Probabilistic Reliability Models is an excellent book for statistics, engineering, and operations research courses on applied probability at the upper-undergraduate and graduate levels. The book is also a valuable reference for professionals and researchers working in industry who would like a mathematical review of reliability models and the relevant applications.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
EUR 17,08 für den Versand von USA nach Deutschland
Versandziele, Kosten & DauerEUR 29,90 für den Versand von USA nach Deutschland
Versandziele, Kosten & DauerAnbieter: READINGON LLC, BOLINGBROOK, IL, USA
Paperback. Zustand: New. Brand new, US edition, ship within 24 hours with tracking No. book. Bestandsnummer des Verkäufers 31943
Anzahl: 3 verfügbar
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers FW-9781118341834
Anzahl: 4 verfügbar
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New. Bestandsnummer des Verkäufers 17855391-n
Anzahl: 19 verfügbar
Anbieter: moluna, Greven, Deutschland
Gebunden. Zustand: New. IGOR USHAKOV, PhD, is Senior Consultant at Advanced Logistics Developments in Tel Aviv, Israel. He has published extensively in his areas of research interest, which include operations research, applied statistics, and probabilistic modeling. Dr. Ushakov is. Bestandsnummer des Verkäufers 556567181
Anzahl: 4 verfügbar
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Zustand: New. Bestandsnummer des Verkäufers 17855391-n
Anzahl: 19 verfügbar
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 17855391
Anzahl: 19 verfügbar
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Bestandsnummer des Verkäufers ria9781118341834_new
Anzahl: 3 verfügbar
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 17855391
Anzahl: 19 verfügbar
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
Zustand: New. Featuring practical approaches to various reliability theory applications, this book the first of three in a series helps readers to understand and properly utilize statistical methods and optimal resource allocation to solve everyday engineering problems. Num Pages: 248 pages, Illustrations. BIC Classification: PBT; TGPR; THX. Category: (P) Professional & Vocational. Dimension: 234 x 163 x 20. Weight in Grams: 552. . 2012. 1st Edition. Hardcover. . . . . Bestandsnummer des Verkäufers V9781118341834
Anzahl: 15 verfügbar
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
Hardcover. Zustand: New. Bestandsnummer des Verkäufers 6666-WLY-9781118341834
Anzahl: 3 verfügbar