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Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas: In Honor of Hung T. Nguyen's 75th Birthday: Studies in Computational Intelligence, cartea 892

Editat de Vladik Kreinovich
en Limba Engleză Paperback – 20 iun 2021
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. 
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Specificații

ISBN-13: 9783030456214
ISBN-10: 3030456218
Ilustrații: XIV, 265 p. 38 illus., 33 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.4 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

Vitae of Hung T. Nguyen.- Almost half a century after our encounter with the theory of information proposed by Joseph Kampé de Fériet.- An Enjoyable Research Journey on Uncertainty.- A Bayesian Dilemma.- The Fell compactification of a poset. 

Textul de pe ultima copertă

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. 

Caracteristici

Celebrates the 75th birthday of Hung T. Nguyen Reflects many of Hung T. Nguyen’s areas of research Presents state-of-the-art research on Statistical and Fuzzy Approaches to Data Processing