Applications in Reliability and Statistical Computing

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Éditeur :

Springer


Collection :

Springer Series in Reliability Engineering

Paru le : 2023-02-15

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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.

Pages
302 pages
Collection
Springer Series in Reliability Engineering
Parution
2023-02-15
Marque
Springer
EAN papier
9783031212314
EAN PDF
9783031212321

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
7946 Ko
Prix
168,79 €
EAN EPUB
9783031212321

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
37898 Ko
Prix
168,79 €