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  • Langue : anglais

    Edité par Springer International Publishing, 2018

    3030041999 / 9783030041991

    Série : Livre 313 sur 538 - Studies in Computational Intelligence

    • Couverture rigide

    Vendeur : moluna, Greven, Allemagnemoluna

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    Etat: Neuf

    EUR 267,86

    EUR 48,99 expédition 
    Expédition depuis Allemagne vers Etats-Unis

    Quantité disponible : Plus de 20 disponibles

    Gebunden. Etat : New.

  • Langue : anglais

    Edité par Springer, 2018

    3030041999 / 9783030041991

    Série : Livre 313 sur 538 - Studies in Computational Intelligence

    • Couverture rigide

    Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH

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    Etat: Neuf

    EUR 358,67

    EUR 49,39 expédition 
    Expédition depuis Allemagne vers Etats-Unis

    Quantité disponible : 1 disponible

    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.…

  • Langue : anglais

    Edité par Springer, 2018

    3030041999 / 9783030041991

    Série : Livre 313 sur 538 - Studies in Computational Intelligence

    • Couverture rigide
    • Édition originale

    Vendeur : Kuba Libri, Prague, Rébublique tchèqueKuba Libri

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 450,50

    EUR 26,00 expédition 
    Expédition depuis Rébublique tchèque vers Etats-Unis

    Quantité disponible : 1 disponible

    Hardcover. Etat : New. 1st Edition. scratched back cover.

  • Langue : anglais

    Edité par Springer, 2018

    3030041999 / 9783030041991

    Série : Livre 313 sur 538 - Studies in Computational Intelligence

    • Couverture rigide
    • impression à la demande

    Vendeur : Brook Bookstore On Demand, Napoli, NA, ItalieBrook Bookstore On Demand

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 246,33

    EUR 20,00 expédition 
    Expédition depuis Italie vers Etats-Unis

    Quantité disponible : Plus de 20 disponibles

    Etat : new. Questo è un articolo print on demand.

  • Langue : anglais

    Edité par Springer International Publishing Nov 2018, 2018

    3030041999 / 9783030041991

    Série : Livre 313 sur 538 - Studies in Computational Intelligence

    • Couverture rigide
    • impression à la demande

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

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    Etat: Neuf

    EUR 320,99

    EUR 23,00 expédition 
    Expédition depuis Allemagne vers Etats-Unis

    Quantité disponible : 2 disponibles

    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.…

  • Langue : anglais

    Edité par Springer, Palgrave Macmillan Nov 2018, 2018

    3030041999 / 9783030041991

    Série : Livre 313 sur 538 - Studies in Computational Intelligence

    • Couverture rigide
    • impression à la demande

    Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagnebuchversandmimpf2000

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    Etat: Neuf

    EUR 320,99

    EUR 60,00 expédition 
    Expédition depuis Allemagne vers Etats-Unis

    Quantité disponible : 1 disponible

    Buch. Etat : 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.…