株式会社極東書店トップ商品一覧Reliability and Statistical Computing: Modeling, Methods and Applications. 2020 ed.

商品詳細

Reliability and Statistical Computing: Modeling, Methods and Applications. 2020 ed.

Reliability and Statistical Computing: Modeling, Methods and Applications. 2020 ed.

・ISBN 978-3-030-43411-3 hard EUR 99.99

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お気に入り
著者・編者Pham, Hoang (ed.),
シリーズ (Springer Series in Reliability Engineering)
出版社 (Springer Nature Switzerland AG, SZ)
出版年月2020
ページ数317 pp.
言語ENG
ニュース番号<A02-56276>

解説

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.