Van Thanh Dang (9 results)

Beyond Traditional Probabilistic Methods in Economics (Studies in Computational Intelligence, 809, Band 809)
Kreinovich, Vladik, Ngoc Thach Nguyen Duc Trung Nguyen u. a.:
Language: English
Published by Springer, 2018
Series: Studies in Computational Intelligence, Book 313 of 538. Book 313 of 538 - Studies in Computational Intelligence
- Hardcover
Seller: Studibuch, Stuttgart, GermanyStudibuch
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hardcover. Condition: Gut. 1171 Seiten; 9783030041991.3 Gewicht in Gramm: 4.

Beyond Traditional Probabilistic Methods in Economics
Kreinovich, Vladik|Thach, Nguyen Ngoc|Trung, Nguyen Duc|Van Thanh, Dang
Language: English
Published by Springer International Publishing, 2018
Series: Studies in Computational Intelligence, Book 313 of 538. Book 313 of 538 - Studies in Computational Intelligence
- Hardcover
Seller: moluna, Greven, Germanymoluna
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Language: English
Published by Springer International Publishing, 2018
Series: Studies in Computational Intelligence, Book 313 of 538. Book 313 of 538 - Studies in Computational Intelligence
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent research on probabilistic methods in economics, from machine learning to statistical analysis. Economics is a very important - and at the same a very difficult discipline. It is not easy to predict how an economy will evolve or t…o identify the measures needed to make an economy prosper. One of the main reasons for this is the high level of uncertainty: different difficult-to-predict events can influence the future economic behavior. To make good predictions and reasonable recommendations, this uncertainty has to be taken into account.In the past, most related research results were based on using traditional techniques from probability and statistics, such as p-value-based hypothesis testing. These techniques led to numerous successful applications, but in the last decades, several examples have emerged showing that these techniques often lead to unreliable and inaccurate predictions. It is therefore necessary to come up with new techniques for processing the corresponding uncertainty that go beyond the traditional probabilistic techniques.This book focuses on such techniques, their economic applications and the remaining challenges, presenting both related theoretical developments and their practical applications.

Beyond Traditional Probabilistic Methods in Economics
Kreinovich, Vladik; Thach, Nguyen Ngoc; Trung, Nguyen Duc; Van Thanh, Dang
Language: English
Published by Springer, 2018
Series: Studies in Computational Intelligence, Book 313 of 538. Book 313 of 538 - Studies in Computational Intelligence
- Hardcover
- First Edition
Seller: Kuba Libri, Prague, Czech RepublicKuba Libri
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Hardcover. Condition: New. 1st Edition. scratched back cover.

Language: English
Published by Springer, 2018
Series: Studies in Computational Intelligence, Book 313 of 538. Book 313 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
Seller: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Language: English
Published by Springer, 2018
Series: Studies in Computational Intelligence, Book 313 of 538. Book 313 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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Condition: new. Questo è un articolo print on demand.

Language: English
Published by Springer International Publishing Nov 2018, 2018
Series: Studies in Computational Intelligence, Book 313 of 538. Book 313 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents recent research on probabilistic methods in economics, from machine learning to statistical analysis. Economics is a very important - and at the same a very difficult discipline. It is not easy to predict how an economy…will evolve or to identify the measures needed to make an economy prosper. One of the main reasons for this is the high level of uncertainty: different difficult-to-predict events can influence the future economic behavior. To make good predictions and reasonable recommendations, this uncertainty has to be taken into account.In the past, most related research results were based on using traditional techniques from probability and statistics, such as p-value-based hypothesis testing. These techniques led to numerous successful applications, but in the last decades, several examples have emerged showing that these techniques often lead to unreliable and inaccurate predictions. It is therefore necessary to come up with new techniques for processing the corresponding uncertainty that go beyond the traditional probabilistic techniques.This book focuses on such techniques, their economic applications and the remaining challenges, presenting both related theoretical developments and their practical applications. 1172 pp. Englisch.

Language: English
Published by Springer, 2018
Series: Studies in Computational Intelligence, Book 313 of 538. Book 313 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
Seller: preigu, Osnabrück, Germanypreigu
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Buch. Condition: Neu. Beyond Traditional Probabilistic Methods in Economics | Vladik Kreinovich (u. a.) | Buch | xiv | Englisch | 2018 | Springer | EAN 9783030041991 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on… Demand.

Language: English
Published by Springer, Palgrave Macmillan Nov 2018, 2018
Series: Studies in Computational Intelligence, Book 313 of 538. Book 313 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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£ 281.78
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents recent research on probabilistic methods in economics, from machine learning to statistical analysis. Economics is a very important ¿ and at the same a very difficult discipline. It is not easy to predict how an economy will… evolve or to identify the measures needed to make an economy prosper. One of the main reasons for this is the high level of uncertainty: different difficult-to-predict events can influence the future economic behavior. To make good predictions and reasonable recommendations, this uncertainty has to be taken into account.In the past, most related research results were based on using traditional techniques from probability and statistics, such as p-value-based hypothesis testing. These techniques led to numerous successful applications, but in the last decades, several examples have emerged showing that these techniques often lead to unreliable and inaccurate predictions. It is therefore necessary to come up with new techniques for processing the corresponding uncertainty that go beyond the traditional probabilistic techniques.This book focuses on such techniques, their economic applications and the remaining challenges, presenting both related theoretical developments and their practical applications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 1172 pp. Englisch.