Statistical reliability engineering : methods, models and applications / Hoang Pham.
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...
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| Main Author: | |
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| Format: | Ebook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
[2022]
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| Series: | Springer series in reliability engineering,
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| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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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| Physical Description: | 1 online resource (xx, 497 pages) : illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 3030769038 9783030769031 3030769046 9783030769048 |
| ISSN: | 2196-999X |