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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.
Produkteigenschaften
- Artikelnummer: 9783030769062
- Medium: Buch
- ISBN: 978-3-030-76906-2
- Verlag: Springer
- Erscheinungstermin: 16.08.2022
- Sprache(n): Englisch
- Auflage: 1. Auflage 2022
- Serie: Springer Series in Reliability Engineering
- Produktform: Kartoniert, Paperback
- Gewicht: 779 g
- Seiten: 497
- Format (B x H x T): 155 x 235 x 28 mm
- Ausgabetyp: Kein, Unbekannt