Beyond Traditional Probabilistic Methods in Economics

Kreinovich, Vladik (EDT); Thach, Nguyen Ngoc (EDT); Trung, Nguyen Duc (EDT); Van Thanh, Dang (EDT)

ISBN 10: 3030041999 ISBN 13: 9783030041991

Edit� par Springer, 2018

Neuf(s) Couverture rigide

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Synopsis :

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.

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Titre : Beyond Traditional Probabilistic Methods in ...
�diteur : Springer
Date d'�dition : 2018
Reliure : Couverture rigide
Etat : New

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Beyond Traditional Probabilistic Methods in Economics (Studies in Computational Intelligence, 809, Band 809)

Kreinovich, Vladik, Ngoc Thach Nguyen Duc Trung Nguyen u. a.:

Edit� par Springer, 2018

ISBN 10 : 3030041999 ISBN 13 : 9783030041991

Ancien ou d'occasion Couverture rigide

Vendeur : Studibuch, Stuttgart, Allemagne

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hardcover. Etat : Gut. 1171 Seiten; 9783030041991.3 Gewicht in Gramm: 4. N� de r�f. du vendeur 1031957

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Beyond Traditional Probabilistic Methods in Economics

Kreinovich, Vladik|Thach, Nguyen Ngoc|Trung, Nguyen Duc|Van Thanh, Dang

Edit� par Springer International Publishing, 2018

ISBN 10 : 3030041999 ISBN 13 : 9783030041991

Neuf Couverture rigide

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Beyond Traditional Probabilistic Methods in Economics

Vladik Kreinovich (u. a.)

Edit� par Springer, 2018

ISBN 10 : 3030041999 ISBN 13 : 9783030041991

Neuf Couverture rigide

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Beyond Traditional Probabilistic Methods in Economics

Vladik Kreinovich

Edit� par Springer International Publishing, 2018

ISBN 10 : 3030041999 ISBN 13 : 9783030041991

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : 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 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. N� de r�f. du vendeur 9783030041991

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Beyond Traditional Probabilistic Methods in Economics

Vladik Kreinovich

Edit� par Springer International Publishing, Springer International Publishing Nov 2018, 2018

ISBN 10 : 3030041999 ISBN 13 : 9783030041991

Neuf Couverture rigide

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Buch. Etat : Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 1172 pp. Englisch. N� de r�f. du vendeur 9783030041991

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Beyond Traditional Probabilistic Methods in Economics

Vladik Kreinovich

Edit� par Springer International Publishing Nov 2018, 2018

ISBN 10 : 3030041999 ISBN 13 : 9783030041991

Neuf Couverture rigide

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : 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. N� de r�f. du vendeur 9783030041991

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