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

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Artikelnr: SK0274909-SE20260527-055838 Kategori: Etikett:

Beskrivning

Beskrivning

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. 

Om boken

Om denna bok

Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas av Vladik Kreinovich är en Inbunden bok med 265 sidor på Engelska. Detta är den 1:a upplagan som utgavs 2020 av Springer Nature.

Produktinformation

Kategori
Okänd
Bandtyp
Inbunden
Språk
Engelska
ISBN
9783030456184
Upplaga
1
Utgiven
2020-06-19
Förlag
Springer Nature
Sidantal
265