Statistical Reliability Engineering Methods, Models and Applications
Aus der Reihe
Springer Series in Reliability Engineering
-
- Hardcover ausgewählt
- Taschenbuch
- eBook
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Sprache:Englisch
106,99 €
inkl. gesetzl. MwSt.,
Lieferung nach Hause
Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
15.08.2021
Verlag
SpringerSeitenzahl
497
Maße (L/B/H)
24,1/16/3,4 cm
Gewicht
939 g
Auflage
1st ed. 2022
Sprache
Englisch
ISBN
978-3-030-76903-1
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.
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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