Van thanh dang (6 risultati)

Beyond Traditional Probabilistic Methods in Economics
Kreinovich, Vladik|Thach, Nguyen Ngoc|Trung, Nguyen Duc|Van Thanh, Dang
Lingua: Inglese
Editore: Springer International Publishing, 2018
Serie: Libro 313 di 538 - Studies in Computational Intelligence
- Rilegato
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 267,86
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Gebunden. Condizione: New.

Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 313 di 538 - Studies in Computational Intelligence
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 338,77
EUR 49,75 spedizioneSpedito 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.…

Beyond Traditional Probabilistic Methods in Economics
Kreinovich, Vladik; Thach, Nguyen Ngoc; Trung, Nguyen Duc; Van Thanh, Dang
Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 313 di 538 - Studies in Computational Intelligence
- Rilegato
- Prima edizione
Da: Kuba Libri, Prague, Repubblica CecaKuba Libri
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 448,53
EUR 26,00 spedizioneSpedito da Repubblica Ceca a U.S.A.Quantità: 1 disponibile
Hardcover. Condizione: New. 1st Edition. scratched back cover.

Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 313 di 538 - Studies in Computational Intelligence
- Rilegato
- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 246,33
EUR 20,00 spedizioneSpedito 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
Serie: Libro 313 di 538 - Studies in Computational Intelligence
- Rilegato
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 320,99
EUR 23,00 spedizioneSpedito 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
Serie: Libro 313 di 538 - Studies in Computational Intelligence
- Rilegato
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 320,99
EUR 60,00 spedizioneSpedito 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.…