Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas von Vladik (Hrsg.) Kreinovich

In Honor of Hung T. Nguyen's 75th Birthday
CHF 134.00 inkl. MwSt.
ISBN: 978-3-030-45621-4
Einband: Kartonierter Einband (Kt)
Verfügbarkeit: in der Regel innert 5 Werktagen lieferbar. Abweichungen werden nach Bestelleingang per Mail gemeldet.
+ -

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. 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.

AutorKreinovich, Vladik (Hrsg.)
EinbandKartonierter Einband (Kt)
Erscheinungsjahr2021
Seitenangabe280 S.
LieferstatusFolgt in ca. 5 Arbeitstagen
AusgabekennzeichenEnglisch
AbbildungenPaperback
MasseH23.5 cm x B15.5 cm x D1.6 cm 429 g
Auflage1st ed. 2021
ReiheStudies in Computational Intelligence
VerlagSpringer International Publishing

Alle Bände der Reihe "Studies in Computational Intelligence"

Weitere Titel von Vladik (Hrsg.) Kreinovich