You might also like

More about Reliability and Statistical Computing

• Book details
• Synopsis
• Trending among others

You get 249 loyalty points

Book synopsis

This book presents the latest developments in both qualitative and quantitative computational methods for reliability and statistics, as well as their applications. Consisting of contributions from active researchers and experienced practitioners in the field, it fills the gap between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18 chapters. It covers (1) modeling in and methods for reliability computing, with chapters dedicated to predicted reliability modeling, optimal maintenance models, and mechanical reliability and safety analysis; (2) statistical computing methods, including machine learning techniques and deep learning approaches for sentiment analysis and recommendation systems; and (3) applications and case studies, such as modeling innovation paths of European firms, aircraft components, bus safety analysis, performance prediction in textile finishing processes, and movie recommendation systems. Given its scope, the book will appeal to postgraduates, researchers, professors, scientists, and practitioners in a range of fields, including reliability engineering and management, maintenance engineering, quality management, statistics, computer science and engineering, mechanical engineering, business analytics, and data science.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Technik Wärme-, Energie- und Kraftwerktechnik

• Full title: Reliability and Statistical Computing
• Author: Hoang Pham
• Language: English
• Binding: Paperback
• Number of pages: 332
• EAN: 9783030434144
• ISBN: 3030434141
• ID: 35500404
• Publisher: Springer Nature Switzerland AG
• Weight: 505 g
• Dimensions: 235 × 155 × 19 mm
• Date of publishing: 29. March 2021

Trending among others

---

---

---