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Reliability and Statistical Computing - Modeling, Methods and Applications (Paperback, 1st ed. 2020)
Loot Price: R2,969
Discovery Miles 29 690
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Reliability and Statistical Computing - Modeling, Methods and Applications (Paperback, 1st ed. 2020)
Series: Springer Series in Reliability Engineering
Expected to ship within 10 - 15 working days
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This book presents the latest developments in both qualitative and
quantitative computational methods for reliability and statistics,
as well as their applications. Consisting of contributions from
active researchers and experienced practitioners in the field, it
fills the gap between theory and practice and explores new research
challenges in reliability and statistical computing. The book
consists of 18 chapters. It covers (1) modeling in and methods for
reliability computing, with chapters dedicated to predicted
reliability modeling, optimal maintenance models, and mechanical
reliability and safety analysis; (2) statistical computing methods,
including machine learning techniques and deep learning approaches
for sentiment analysis and recommendation systems; and (3)
applications and case studies, such as modeling innovation paths of
European firms, aircraft components, bus safety analysis,
performance prediction in textile finishing processes, and movie
recommendation systems. Given its scope, the book will appeal to
postgraduates, researchers, professors, scientists, and
practitioners in a range of fields, including reliability
engineering and management, maintenance engineering, quality
management, statistics, computer science and engineering,
mechanical engineering, business analytics, and data science.
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