Bright o osu (7 risultati)

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    • Lingua: Inglese

      Editore: Scholars' Press, 2015

      3639764102 / 9783639764109

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      Da: Books Puddle, New York, NY, U.S.A.Books Puddle

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      EUR 76,53

      EUR 3,46 spedizione 
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      Quantità: 4 disponibili

      Condizione: New. pp. 64.

    • Lingua: Inglese

      Editore: Scholars' Press, 2015

      3639764102 / 9783639764109

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      Da: preigu, Osnabrück, Germaniapreigu

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      EUR 183,60

      EUR 70,00 spedizione 
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      Quantità: 5 disponibili

      Taschenbuch. Condizione: Neu. Harmonized Fractal Dimensional Measure | Bright O. Osu (u. a.) | Taschenbuch | 64 S. | Englisch | 2015 | Scholars' Press | EAN 9783639764109 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Lingua: Inglese

      Editore: SPS Jun 2015, 2015

      3639764102 / 9783639764109

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

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      EUR 45,90

      EUR 23,00 spedizione 
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      Quantità: 2 disponibili

      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Herein is proposed a dimensional risk measure based on harmonized fractal behaviour by analysing the probability survival distribution of the returns with aim to quantify the incurred risk, test for coherency and compare the subsequent dimension measures with the harmonized fractal measure (HFM). The advantage of our approach is that this measure is act as maximum entropy to the original fractal measure, adjusts the true fractal measure to give more weight to higher dimension risk events. Here the risk and its capital requirement are harmonized on fractal dimensional measure. It is a much simplified model and could be used as a guide to obtain portfolio selection policies that are nearly as good as the optimal ones from practical concern. Also as a device to determine the likelihood estimators of random variable of real life data set in finance logistics in capturing the dynamic natures of financial markets on tradeoffs between time specific risk, loss occurring at a point in time or dimensions. We have shown here that HFD measure satisfy the condition for subadditive and, translative invariant hence coherent while FDM does not because the covering set are all taken to be equal. 64 pp. Englisch.

    • Lingua: Inglese

      Editore: Scholars' Press, 2015

      3639764102 / 9783639764109

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      Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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      Condizione: Nuovo

      EUR 75,92

      EUR 7,59 spedizione 
      Spedito da Regno Unito a U.S.A.

      Quantità: 4 disponibili

      Condizione: New. Print on Demand pp. 64.

    • Lingua: Inglese

      Editore: Scholars' Press, 2015

      3639764102 / 9783639764109

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      Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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      Condizione: Nuovo

      EUR 77,49

      EUR 9,95 spedizione 
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      Quantità: 4 disponibili

      Condizione: New. PRINT ON DEMAND pp. 64.

    • Lingua: Inglese

      Editore: Scholars\' Press, 2015

      3639764102 / 9783639764109

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      Da: moluna, Greven, Germaniamoluna

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      Condizione: Nuovo

      EUR 39,32

      EUR 48,99 spedizione 
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      Quantità: Più di 20 disponibili

      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Osu Bright O.Bright O. Osu works in the Department of Mathematics Abia State University as a Senior Lecturer. His research interest includes: Stochastic Approximation, Probability Theory and BSDE, SDE with application in Finance. Obi.

    • Lingua: Inglese

      Editore: SPS, 2015

      3639764102 / 9783639764109

      • Brossura
      • Print on Demand

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

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      Condizione: Nuovo

      EUR 45,90

      EUR 60,57 spedizione 
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      Quantità: 1 disponibili

      Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Herein is proposed a dimensional risk measure based on harmonized fractal behaviour by analysing the probability survival distribution of the returns with aim to quantify the incurred risk, test for coherency and compare the subsequent dimension measures with the harmonized fractal measure (HFM). The advantage of our approach is that this measure is act as maximum entropy to the original fractal measure, adjusts the true fractal measure to give more weight to higher dimension risk events. Here the risk and its capital requirement are harmonized on fractal dimensional measure. It is a much simplified model and could be used as a guide to obtain portfolio selection policies that are nearly as good as the optimal ones from practical concern. Also as a device to determine the likelihood estimators of random variable of real life data set in finance logistics in capturing the dynamic natures of financial markets on tradeoffs between time specific risk, loss occurring at a point in time or dimensions. We have shown here that HFD measure satisfy the condition for subadditive and, translative invariant hence coherent while FDM does not because the covering set are all taken to be equal.