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Titlebook: Reliability and Statistical Computing; Modeling, Methods an Hoang Pham Book 2020 Springer Nature Switzerland AG 2020 Reliability Engineerin

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發(fā)表于 2025-3-21 17:35:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Reliability and Statistical Computing
副標(biāo)題Modeling, Methods an
編輯Hoang Pham
視頻videohttp://file.papertrans.cn/827/826393/826393.mp4
概述Broadens readers’ understanding of computational methods in reliability and statistics used in academia and industry.Brings together theoretical and practical aspects through contributions from expert
叢書名稱Springer Series in Reliability Engineering
圖書封面Titlebook: Reliability and Statistical Computing; Modeling, Methods an Hoang Pham Book 2020 Springer Nature Switzerland AG 2020 Reliability Engineerin
描述.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 engi
出版日期Book 2020
關(guān)鍵詞Reliability Engineering; Statistics; Engineering Management; Computer Science and Engineering; Business
版次1
doihttps://doi.org/10.1007/978-3-030-43412-0
isbn_softcover978-3-030-43414-4
isbn_ebook978-3-030-43412-0Series ISSN 1614-7839 Series E-ISSN 2196-999X
issn_series 1614-7839
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Springer Series in Reliability Engineeringhttp://image.papertrans.cn/r/image/826393.jpg
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https://doi.org/10.1007/978-3-030-43412-0Reliability Engineering; Statistics; Engineering Management; Computer Science and Engineering; Business
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發(fā)表于 2025-3-22 10:43:34 | 只看該作者
Hoang PhamBroadens readers’ understanding of computational methods in reliability and statistics used in academia and industry.Brings together theoretical and practical aspects through contributions from expert
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Takumi Kishida,Kodo Ito,Higuchi Yoshiyuki,Toshio Nakagawa paradigmsfor distributed applications, algorithm-based paradigms for parallelapplications, and approaches to exploiting application semantics inembedded real-t978-1-4757-8315-5978-0-585-27377-8Series ISSN 0893-3405
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Grigore Albeanu,Henrik Madsen,Florin Popen?iu-Vl?dicescu paradigmsfor distributed applications, algorithm-based paradigms for parallelapplications, and approaches to exploiting application semantics inembedded real-t978-1-4757-8315-5978-0-585-27377-8Series ISSN 0893-3405
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Fatigue Life Distribution Estimation,e applied load. The methodology incorporates available fatigue life data for various stresses or strains using a statistical transformation to merge all the life data so that distribution estimation is more accurate than traditional approaches. Subsequently, the distribution for the transformed and
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