Van thanh dang (6 resultados)

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  • Idioma: Inglés

    Editorial: Springer International Publishing, 2018

    3030041999 / 9783030041991

    Serie: Libro 313 de 538 - Studies in Computational Intelligence

    • Tapa dura

    Librería: moluna, Greven, Alemaniamoluna

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    Condición: Nuevo

    EUR 267,86

    Envío por EUR 48,99 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Gebunden. Condición: New.

  • Idioma: Inglés

    Editorial: Springer, 2018

    3030041999 / 9783030041991

    Serie: Libro 313 de 538 - Studies in Computational Intelligence

    • Tapa dura

    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 358,67

    Envío por EUR 49,39 
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    Cantidad disponible: 1 disponible

    Buch. Condición: 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.…

  • Idioma: Inglés

    Editorial: Springer, 2018

    3030041999 / 9783030041991

    Serie: Libro 313 de 538 - Studies in Computational Intelligence

    • Tapa dura
    • Primera edición

    Librería: Kuba Libri, Prague, Republica ChecaKuba Libri

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    Condición: Nuevo

    EUR 449,08

    Envío por EUR 26,00 
    Se envía de Republica Checa a Estados Unidos de America

    Cantidad disponible: 1 disponible

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

  • Idioma: Inglés

    Editorial: Springer, 2018

    3030041999 / 9783030041991

    Serie: Libro 313 de 538 - Studies in Computational Intelligence

    • Tapa dura
    • Impresión bajo demanda

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

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    Condición: Nuevo

    EUR 246,33

    Envío por EUR 20,00 
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    Cantidad disponible: Más de 20 disponibles

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

  • Idioma: Inglés

    Editorial: Springer International Publishing Nov 2018, 2018

    3030041999 / 9783030041991

    Serie: Libro 313 de 538 - Studies in Computational Intelligence

    • Tapa dura
    • Impresión bajo demanda

    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Condición: Nuevo

    EUR 320,99

    Envío por EUR 23,00 
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    Cantidad disponible: 2 disponibles

    Buch. Condición: 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.…

  • Idioma: Inglés

    Editorial: Springer, Palgrave Macmillan Nov 2018, 2018

    3030041999 / 9783030041991

    Serie: Libro 313 de 538 - Studies in Computational Intelligence

    • Tapa dura
    • Impresión bajo demanda

    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Condición: Nuevo

    EUR 320,99

    Envío por EUR 60,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Buch. Condición: 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.…