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Igor A. Ushakov - Probabilistic Reliability Models - 9781118341834 - V9781118341834
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Probabilistic Reliability Models

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Description for Probabilistic Reliability Models Hardcover. 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.

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

... Read more

Product Details

Format
Hardback
Publication date
2012
Publisher
John Wiley & Sons Inc United States
Number of pages
248
Condition
New
Number of Pages
248
Place of Publication
New York, United States
ISBN
9781118341834
SKU
V9781118341834
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Igor A. Ushakov
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. ... Read more

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