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

Vladik Kreinovich

ISBN 10: 3030456218 / ISBN 13: 9783030456214

Published by Springer Nature Switzerland AG, Cham, 2021

About this Item

Paperback. 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. Mainly focusing on processing uncertainty, this book presents state-of-the-art techniques and demonstrates their use in applications to econometrics and other areas. Measurement uncertainty is usually described using probabilistic techniques, while uncertainty in expert estimates is often described using fuzzy techniques. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9783030456214

Bibliographic Details

• Title: Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas (Paperback)
• Publisher: Springer Nature Switzerland AG, Cham
• Publication Date: 2021
• Language: English
• ISBN 10: 3030456218
• ISBN 13: 9783030456214
• Binding: Paperback
• Condition: new

About this title

Synopsis

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.