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Can I read Statistical Reliability Engineering: Methods, Models and Applications (Springer Series in Reliability Engineering) on EtoBox?
Statistical Reliability Engineering: Methods, Models and Applications (Springer Series in Reliability Engineering) by Hoang Pham is a nonfiction available to read on EtoBox.
What is Statistical Reliability Engineering: Methods, Models and Applications (Springer Series in Reliability Engineering) about?
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. Erscheinungsdatum: 15.08.2021
Who reads Statistical Reliability Engineering: Methods, Models and Applications (Springer Series in Reliability Engineering)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Hoang Pham
- Publisher
- Springer International Publishing AG
- Published
- 2021
- Language
- EN
- ISBN
- 9783030769031
- Category
- nonfiction
- Subjects
- Computer Science, Engineering, Mathematics
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