Applications in Reliability and Statistical Computing

This book explores the practical applications of reliability and statistical methods and techniques in various disciplines, using machine learning, artificial intelligence, optimization, and other computation methods. It highlights the era of big data and the need for effective data collection techniques, and is of interest to researchers, practicing engineers, and postgraduate students in reliability engineering, statistical computing, and machine learning.

Format: Hardback
Length: 302 pages
Publication date: 16 February 2023
Publisher: Springer International Publishing AG

This comprehensive book delves into the realm of practical applications of reliability and statistical methods and techniques across diverse disciplines. By leveraging cutting-edge technologies such as machine learning, artificial intelligence, optimization, and other computation methods, it uncovers a wealth of insights and solutions. The book brings together research from esteemed international experts, with each chapter dedicated to exploring both methods and practical aspects of reliability or statistical computations, with a strong emphasis on their applications.

In the era of rapid technological advancements, particularly in the fields of 5G and IoT, the generation of vast amounts of data is expected to reach unprecedented levels. Companies are relentlessly seeking innovative techniques and tools to effectively collect and analyze this data, in order to propel their business growth. This book serves as a valuable guide in navigating the realm of big data through reliability and statistical computing. It showcases how nearly every aspect of our daily lives has undergone a remarkable transformation in the past two decades, evolving into a truly global industry.

The book is enriched with numerous illustrations and practical examples, making it an invaluable resource for researchers, practicing engineers, and postgraduate students alike. It provides a deep understanding of the principles and methodologies employed in reliability engineering, statistical computing, and machine learning, equipping readers with the skills and knowledge necessary to address complex real-world problems.

By exploring the intersection of reliability and statistical computing, this book offers a holistic perspective on data analysis and interpretation. It sheds light on the importance of reliability in ensuring the accuracy and integrity of data, while also highlighting the significance of statistical techniques in extracting meaningful insights and making informed decisions.

Whether you are a professional seeking to enhance your expertise in these fields or an academic pursuing research in reliability engineering, statistical computing, or machine learning, this book is an essential companion. It provides a comprehensive roadmap for navigating the complexities of big data and leveraging it to drive innovation and growth in your respective industry.

Weight: 641g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031212314
Edition number: 1st ed. 2023