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Applications in Reliability and Statistical Computing

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Applications in Reliability and Statistical Computing Synopsis

This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using machine learning, artificial intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover both methods and practical aspects on reliability or statistical computations with emphasis on applications. 

5G and IoT are set to generate an estimated 1 billion terabytes of data by 2025 and companies continue to search for new techniques and tools that can help them practice data collection effectively in promoting their business. This book explores the era of big data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry. 

Including numerous illustrations and worked examples, the book is of interest to researchers, practicing engineers, and postgraduate students in the fields of reliability engineering, statistical computing, and machine learning.


About This Edition

ISBN: 9783031212314
Publication date: 16th February 2023
Author: Hoang Pham
Publisher: Springer an imprint of Springer International Publishing
Format: Hardback
Pagination: 310 pages
Series: Springer Series in Reliability Engineering
Genres: Engineering: general
Management decision making
Mathematical modelling
Management and management techniques
Operational research
Maths for engineers
Computer hardware