Statistical and Fuzzy Approaches to Data Processing, With Applications to Econometrics and Other Areas: In Honor of Hung T. Nguyen's 75th Birthday
Mainly focusing on processing uncertainty, this book presents state-of-the-art techniques and demonstrates their use in applications to econometrics and other areas. Processing uncertainty is essential, considering that computers – which help us understand real-life processes and make better decisions based on that understanding – get their information from measurements or from expert estimates, neither of which is ever 100% accurate. Measurement uncertainty is usually described using probabilistic techniques, while uncertainty in expert estimates is often described using fuzzy techniques. Therefore, it is important to master both techniques for processing data. This book is highly recommended for researchers and students interested in the latest results and challenges in uncertainty, as well as practitioners who want to learn how to use the corresponding state-of-the-art techniques.
265 pages, 2 editions
English edition · First published 2021 by Springer · ISBN 9783030456184
Be the first to rate this book
Editions
2 editions
English
- Statistical and Fuzzy Approaches to Data Processing, With Applications to Econometrics and Other Areas: In Honor of Hung T. Nguyen's 75th Birthday · Springer · 2021 · ISBN 9783030456184 This page
- Statistical and Fuzzy Approaches to Data Processing, With Applications to Econometrics and Other Areas: In Honor of Hung T. Nguyen's 75th Birthday · Springer International Publishing · 2021 · ISBN 9783030456191
Keep track of what you read
Book Nook is a free reading tracker with a 3D bookshelf, a reading timer, challenges with friends and a Reading Wrapped at the end of the year. Add Statistical and Fuzzy Approaches to Data Processing, With Applications to Econometrics and Other Areas: In Honor of Hung T. Nguyen's 75th Birthday to your shelf in one tap.