Van thanh dang (6 résultats)

Beyond Traditional Probabilistic Methods in Economics
Kreinovich, Vladik|Thach, Nguyen Ngoc|Trung, Nguyen Duc|Van Thanh, Dang
Langue : anglais
Edité par Springer International Publishing, 2018
Série : Livre 313 sur 538 - Studies in Computational Intelligence
- Couverture rigide
Vendeur : moluna, Greven, Allemagnemoluna
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 267,86
EUR 48,99 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Gebunden. Etat : New.

Langue : anglais
Edité par Springer, 2018
Série : Livre 313 sur 538 - Studies in Computational Intelligence
- Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 358,67
EUR 49,39 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité 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.…

Beyond Traditional Probabilistic Methods in Economics
Kreinovich, Vladik; Thach, Nguyen Ngoc; Trung, Nguyen Duc; Van Thanh, Dang
Langue : anglais
Edité par Springer, 2018
Série : Livre 313 sur 538 - Studies in Computational Intelligence
- Couverture rigide
- Édition originale
Vendeur : Kuba Libri, Prague, Rébublique tchèqueKuba Libri
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 450,50
EUR 26,00 expéditionExpédition depuis Rébublique tchèque vers Etats-UnisQuantité disponible : 1 disponible
Hardcover. Etat : New. 1st Edition. scratched back cover.

Langue : anglais
Edité par Springer, 2018
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
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 246,33
EUR 20,00 expéditionExpédition depuis Italie vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : new. Questo è un articolo print on demand.

Langue : anglais
Edité par Springer International Publishing Nov 2018, 2018
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.
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 320,99
EUR 23,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité 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
Série : Livre 313 sur 538 - Studies in Computational Intelligence
- Couverture rigide
- impression à la demande
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagnebuchversandmimpf2000
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 320,99
EUR 60,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité 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.…