Van thanh dang (6 resultados)

Beyond Traditional Probabilistic Methods in Economics
Kreinovich, Vladik|Thach, Nguyen Ngoc|Trung, Nguyen Duc|Van Thanh, Dang
Idioma: Inglés
Editorial: Springer International Publishing, 2018
Serie: Libro 313 de 538 - Studies in Computational Intelligence
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Librería: moluna, Greven, Alemaniamoluna
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EUR 267,86
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Gebunden. Condición: New.

Idioma: Inglés
Editorial: Springer, 2018
Serie: Libro 313 de 538 - Studies in Computational Intelligence
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 358,67
Envío por EUR 49,39Se envía de Alemania a Estados Unidos de AmericaCantidad 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.…

Beyond Traditional Probabilistic Methods in Economics
Kreinovich, Vladik; Thach, Nguyen Ngoc; Trung, Nguyen Duc; Van Thanh, Dang
Idioma: Inglés
Editorial: Springer, 2018
Serie: Libro 313 de 538 - Studies in Computational Intelligence
- Tapa dura
- Primera edición
Librería: Kuba Libri, Prague, Republica ChecaKuba Libri
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 449,08
Envío por EUR 26,00Se envía de Republica Checa a Estados Unidos de AmericaCantidad disponible: 1 disponible
Hardcover. Condición: New. 1st Edition. scratched back cover.

Idioma: Inglés
Editorial: Springer, 2018
Serie: Libro 313 de 538 - Studies in Computational Intelligence
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- Impresión bajo demanda
Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 246,33
Envío por EUR 20,00Se envía de Italia a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: new. Questo è un articolo print on demand.

Idioma: Inglés
Editorial: Springer International Publishing Nov 2018, 2018
Serie: Libro 313 de 538 - Studies in Computational Intelligence
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- Impresión bajo demanda
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 320,99
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad 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
Serie: Libro 313 de 538 - Studies in Computational Intelligence
- Tapa dura
- Impresión bajo demanda
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 320,99
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad 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.…