Van thanh dang (6 risultati)

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  • Lingua: Inglese

    Editore: Springer International Publishing, 2018

    3030041999 / 9783030041991

    Serie: Libro 313 di 538 - Studies in Computational Intelligence

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    Da: moluna, Greven, Germaniamoluna

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    Condizione: Nuovo

    EUR 267,86

    EUR 48,99 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: Più di 20 disponibili

    Gebunden. Condizione: New.

  • Lingua: Inglese

    Editore: Springer, 2018

    3030041999 / 9783030041991

    Serie: Libro 313 di 538 - Studies in Computational Intelligence

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 338,77

    EUR 49,75 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibile

    Buch. Condizione: 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.…

  • Lingua: Inglese

    Editore: Springer, 2018

    3030041999 / 9783030041991

    Serie: Libro 313 di 538 - Studies in Computational Intelligence

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    • Prima edizione

    Da: Kuba Libri, Prague, Repubblica CecaKuba Libri

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    Condizione: Nuovo

    EUR 448,53

    EUR 26,00 spedizione 
    Spedito da Repubblica Ceca a U.S.A.

    Quantità: 1 disponibile

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

  • Lingua: Inglese

    Editore: Springer, 2018

    3030041999 / 9783030041991

    Serie: Libro 313 di 538 - Studies in Computational Intelligence

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    • Print on Demand

    Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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    Condizione: Nuovo

    EUR 246,33

    EUR 20,00 spedizione 
    Spedito da Italia a U.S.A.

    Quantità: Più di 20 disponibili

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

  • Lingua: Inglese

    Editore: Springer International Publishing Nov 2018, 2018

    3030041999 / 9783030041991

    Serie: Libro 313 di 538 - Studies in Computational Intelligence

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    • Print on Demand

    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Condizione: Nuovo

    EUR 320,99

    EUR 23,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Buch. Condizione: 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.…

  • Lingua: Inglese

    Editore: Springer, Palgrave Macmillan Nov 2018, 2018

    3030041999 / 9783030041991

    Serie: Libro 313 di 538 - Studies in Computational Intelligence

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    • Print on Demand

    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Condizione: Nuovo

    EUR 320,99

    EUR 60,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibile

    Buch. Condizione: 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.…