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230600098
Reliability and Statistical Computing: Modeling, Methods and Applications (Springer Series in Reliability Engineering)
Item #:
230600098
AUD 229
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This book fills the gap between theory and practice and explores new research challenges in reliability and statistical computing.
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What Stands Out
Comprehensive Coverage
Offers extensive insights into reliability engineering, statistical computing, and advanced modeling techniques, making it an essential resource for researchers and professionals in the field seeking to enhance their understanding.
Practical Applications
Includes real-world case studies and applications, enabling readers to apply theoretical concepts to practical scenarios, thus bridging the gap between theory and practice in reliability engineering.
Expert Contributions
Contributions from leading experts in reliability and statistics ensure high-quality, authoritative insights, making it a trusted reference for advanced students and practitioners aiming to improve system reliability.
Product Details
- 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.
| Publisher | Springer |
| Publication date | March 29, 2020 |
| Edition | 2020th |
| Language | English |
| Print length | 317 pages |
| ISBN-10 | 3030434117 |
| ISBN-13 | 978-3030434113 |
| Item Weight | 1.46 pounds (660 grams) |
| Dimensions | 6.1 x 0.75 x 9.25 inches (15.5 x 1.9 x 23.5 cm) |
| Part of series | Springer Series in Reliability Engineering |
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Features & Benefits
- Latest developments in reliability and statistical computing.
- 18 comprehensive chapters by active researchers and practitioners.
- Covers modeling, methods, and applications in reliability engineering.
- Includes machine learning and deep learning techniques.
- Features diverse applications, from aerospace to movie recommendations.
- Ideal for postgraduates, researchers, professors, and practitioners.
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