probabilistic reliability models de ushakov igor (18 résultats)

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Hardcover. Etat : new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardback. Etat : New. 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.

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Etat : New. pp. 248.

Etat : 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. . . . .

Etat : New. pp. 248.

Hardcover. Etat : Brand New. 1st edition. 248 pages. 9.39x0.82x6.26 inches. In Stock.

Hardcover. Etat : new. Hardcover. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Gebunden. Etat : 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.

Etat : 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. . . . . Books ship from the US and Ireland.

Hardcover. Etat : new. Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Etat : Neu. Neuware - Practical Approaches to Reliability Theory in Cutting-Edge ApplicationsProbabilistic Reliability Models helps readers understand and properly use statistical methodsand optimal resource allocation to solve engineering problems.The author supplies engineers with a deeper understanding of mathematical models while alsoequipping mathematically oriented readers with a fundamental knowledge of the engineeringrelatedapplications at the center of model building. The book showcases the use of probabilitytheory and mathematical statistics to solve common, real-world reliability problems. Followingan 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 systemsDetailed case studies illustrate the relevance of the discussed methods to real-world technicalprojects including software failure avalanches, gas pipelines with underground storage, andintercontinental ballistic missile (ICBM) control systems. Numerical examples and detailedexplanations accompany each topic, and exercises throughout allow readers to test theircomprehension of the presented material.Probabilistic Reliability Models is an excellent book for statistics, engineering, and operationsresearch courses on applied probability at the upper-undergraduate and graduate levels. Thebook is also a valuable reference for professionals and researchers working in industry whowould like a mathematical review of reliability models and the relevant applications.

Hardback. Etat : New. 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.