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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: 9783030769031
- Medium: Buch
- ISBN: 978-3-030-76903-1
- Verlag: Springer
- Erscheinungstermin: 15.08.2021
- Sprache(n): Englisch
- Auflage: 1. Auflage 2022
- Serie: Springer Series in Reliability Engineering
- Produktform: Gebunden, HC runder Rücken kaschiert
- Gewicht: 939 g
- Seiten: 497
- Format (B x H x T): 160 x 241 x 34 mm
- Ausgabetyp: Kein, Unbekannt