Limit this search to....

Applied Reliability Engineering and Risk Analysis: Probabilistic Models and Statistical Inference
Contributor(s): Frenkel, Ilia B. (Author), Karagrigoriou, Alex (Author), Lisnianski, Anatoly (Author)
ISBN: 1118539427     ISBN-13: 9781118539422
Publisher: Wiley
OUR PRICE:   $193.75  
Product Type: Hardcover - Other Formats
Published: November 2013
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Technology & Engineering | Quality Control
Dewey: 620.004
LCCN: 2013020681
Series: Quality and Reliability Engineering
Physical Information: 0.9" H x 6.8" W x 9.9" (1.80 lbs) 448 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field.

With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris Gnedenko, one of the most prominent reliability scientists of the twentieth century.

Key features include:

  • expert treatment of probabilistic models and statistical inference from leading scientists, researchers and practitioners in their respective reliability fields
  • detailed coverage of multi-state system reliability, maintenance models, statistical inference in reliability, systemability, physics of failures and reliability demonstration
  • many examples and engineering case studies to illustrate the theoretical results and their practical applications in industry

Applied Reliability Engineering and Risk Analysis is one of the first works to treat the important areas of degradation analysis, multi-state system reliability, networks and large-scale systems in one comprehensive volume. It is an essential reference for engineers and scientists involved in reliability analysis, applied probability and statistics, reliability engineering and maintenance, logistics, and quality control. It is also a useful resource for graduate students specialising in reliability analysis and applied probability and statistics.

Dedicated to the Centennial of the birth of Boris Gnedenko, renowned Russian mathematician and reliability theorist