Statistical Reliability Engineering

Methods, Models and Applications
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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, 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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ReiheSpringer Series in Reliability Engineering
ISBN 9783030769062
Sprache Englisch
Ausgabe 1st ed. 2022
Erscheinungsdatum 16.08.2022
Umfang 497 Seiten
Genre Technik/Allgemeines, Lexika
Format Taschenbuch
Verlag Springer International Publishing
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