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.

Mehr Informationen
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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