Applications in Reliability and Statistical Computing
Series: Springer Series in Reliability Engineering;
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Product details:
- Edition number 1st ed. 2023
- Publisher Springer International Publishing
- Date of Publication 16 February 2024
- Number of Volumes 1 pieces, Book
- ISBN 9783031212345
- Binding Paperback
- See also 9783031212314
- No. of pages302 pages
- Size 235x155 mm
- Weight 486 g
- Language English
- Illustrations XIII, 302 p. 99 illus., 82 illus. in color. Illustrations, black & white 538
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Long description:
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.
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Table of Contents:
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