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- Author: Hoang Pham
- Publisher: Springer
- ISBN-10: 3030769062
- ISBN-13: 9783030769062
- Format: 15.6 x 23.4 x 2.7 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
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Description
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.
EXTRA 10 % discount with code: EXTRA
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The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Hoang Pham
- Publisher: Springer
- ISBN-10: 3030769062
- ISBN-13: 9783030769062
- Format: 15.6 x 23.4 x 2.7 cm, softcover
- Language: English 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.
Reviews