Statistical Reliability Engineering: Methods, Models and Applications - Hoang Pham
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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, ... Full description
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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.
More Information
| Author | Hoang Pham |
|---|---|
| Publisher | Springer Nature Switzerland |
| Series | Springer Series in Reliability Engineering |
| Release year | 2022 |
| Cover type | Softcover |
| EAN | 9783030769062 |