Applications in Reliability and Statistical Computing (Hardcover, 1st ed. 2023)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Series in Reliability Engineering
Release date:	February 2023
First published:	2023
Editors:	Hoang Pham
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	310
Edition:	1st ed. 2023
ISBN-13:	978-3-03-121231-4
Categories:	Books > Professional & Technical > Technology: general issues > Engineering: general Books > Computing & IT > Computer hardware & operating systems > General Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
LSN:	3-03-121231-2
Barcode:	9783031212314

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