Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas

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Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas is written by Vladik Kreinovich and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3030456196 (ISBN 10) and 9783030456191 (ISBN 13).

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.