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dc.contributor.authorKreinovich, Vladik-
dc.date.accessioned2024-12-19T08:08:39Z-
dc.date.available2024-12-19T08:08:39Z-
dc.date.issued2021-
dc.identifier.urihttp://thuvienso.thanglong.edu.vn//handle/TLU/11889-
dc.description.abstractMainly 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 techniquesvi
dc.format.extent271 pagesvi
dc.language.isoenvi
dc.publisherSpringervi
dc.subjectEconometricsvi
dc.subjectKinh tế lượngvi
dc.titleStatistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas : In Honor of Hung T. Nguyen's 75th Birthdayvi
dc.typeSách/Bookvi
Appears in Collections1-Kinh tế - Quản lý

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