Reliability and Statistical Computing: Modeling, Methods and Applications (Springer Series in Reliability Engineering) - Tapa blanda

Libro 67 de 90: Springer Series in Reliability Engineering
 
9783030434144: Reliability and Statistical Computing: Modeling, Methods and Applications (Springer Series in Reliability Engineering)
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ISBN 10: 3030434141 ISBN 13: 9783030434144
Editorial: Springer, 2021

Sinopsis

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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Acerca del autor

Dr Hoang Pham is a Distinguished Professor and former Chairman (2007–2013) of the Department of Industrial and Systems Engineering at Rutgers University, New Jersey. Before joining Rutgers, he was a Senior Engineering Specialist with the Boeing Company and the Idaho National Engineering Laboratory. He has served as editor-in-chief, editor, associate editor, guest editor, and board member of numerous journals. He is the editor of Springer book series on reliability engineering and of World Scientific book series on industrial and systems engineering and has been the conference chair and program chair of over 40 international conferences. He is the author or coauthor of 6 books and has published over 170 journal articles and edited 12 books, including the Springer Handbook in Engineering Statistics and Handbook in Reliability Engineering. He has delivered over 40 invited keynote and plenary speeches at various international conferences. His numerous awards include the 2009 IEEE Reliability Society Engineer of the Year Award. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the Institute of Industrial Engineers (IIE).

De la contraportada

<p>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.</p><p>&nbsp;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.</p><p>&nbsp;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.</p>

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Editorial
Springer
Año de publicación
2021
Idioma
Inglés
ISBN 10 
3030434141
ISBN 13 
9783030434144
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
332
Editor
Pham Hoang
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
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Otras ediciones populares con el mismo título

9783030434113: Reliability and Statistical Computing: Modeling, Methods and Applications (Springer Series in Reliability Engineering)

Edición Destacada

ISBN 10:  3030434117 ISBN 13:  9783030434113
Editorial: Springer, 2020
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