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Statistical Reliability Engineering: Methods, Models and Applications
Hardcover
Series: Springer Reliability Engineering
Technology & EngineeringProbability & Statistics
ISBN13: 9783030769031
Publisher: Springer Nature
Published: Aug 15 2021
Pages: 497
Weight: 1.98
Height: 1.13 Width: 6.14 Depth: 9.21
Language: English
This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author's recent research and publications as well as experience of over 30 years in this field.
The book covers a wide range of methods and models in reliability, and their applications, including:
- statistical methods and model selection for machine learning;
- models for maintenance and software reliability; statistical reliability estimation of complex systems; and
- statistical reliability analysis of k out of n systems, standby systems and repairable systems.
Offering numerous examples and solved problems within each chapter, this comprehensive text provides an introduction to reliability engineering graduate students, a reference for data scientists and reliability engineers, and a thorough guide for researchers and instructors in the field.
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