Isbn: 9783110516043 - loss data analysis: the maximum entropy approach (de gruyter stem) (13 resultados)

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  • Idioma: Inglés

    Editorial: De Gruyter, 2018

    3110516047 / 9783110516043

    Serie: Libro 2 de 256 - De Gruyter STEM

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    Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices

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  • Idioma: Inglés

    Editorial: De Gruyter, DE, 2018

    3110516047 / 9783110516043

    Serie: Libro 2 de 256 - De Gruyter STEM

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    Librería: Rarewaves USA, HEBRON, KY, Estados Unidos de AmericaRarewaves USA

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    EUR 64,69

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    Paperback. Condición: New. This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences. On the other hand, the methodology proposed to solve such problems, which is based on an application of the maximum entropy method to invert the Laplace transform of the distributions, can be applied to many other problems. The book contains applications to a large variety of problems, including the problem of dependence of the sample data used to estimate empirically the Laplace transform of the random variable.

  • Idioma: Inglés

    Editorial: De Gruyter, 2018

    3110516047 / 9783110516043

    Serie: Libro 2 de 256 - De Gruyter STEM

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    Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices

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    Condición: Usado - Como Nuevo

    EUR 65,71

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    Condición: As New. Unread book in perfect condition.

  • Idioma: Inglés

    Editorial: De Gruyter, 2018

    3110516047 / 9783110516043

    Serie: Libro 2 de 256 - De Gruyter STEM

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    Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK

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    EUR 67,23

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    Condición: New.

  • Idioma: Inglés

    Editorial: De Gruyter, 2018

    3110516047 / 9783110516043

    Serie: Libro 2 de 256 - De Gruyter STEM

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    Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK

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    EUR 71,67

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    Condición: As New. Unread book in perfect condition.

  • Idioma: Inglés

    Editorial: De Gruyter, 2018

    3110516047 / 9783110516043

    Serie: Libro 2 de 256 - De Gruyter STEM

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    Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections

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    EUR 80,31

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    Condición: New. In English.

  • Idioma: Inglés

    Editorial: De Gruyter, DE, 2018

    3110516047 / 9783110516043

    Serie: Libro 2 de 256 - De Gruyter STEM

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    Librería: Rarewaves USA United, HEBRON, KY, Estados Unidos de AmericaRarewaves USA United

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    Condición: Nuevo

    EUR 67,24

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    Paperback. Condición: New. This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences. On the other hand, the methodology proposed to solve such problems, which is based on an application of the maximum entropy method to invert the Laplace transform of the distributions, can be applied to many other problems. The book contains applications to a large variety of problems, including the problem of dependence of the sample data used to estimate empirically the Laplace transform of the random variable.

  • Idioma: Inglés

    Editorial: De Gruyter, 2018

    3110516047 / 9783110516043

    Serie: Libro 2 de 256 - De Gruyter STEM

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    Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books

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    EUR 140,51

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    Cantidad disponible: 1 disponibles

    Paperback. Condición: Brand New. 266 pages. 9.50x6.75x0.75 inches. In Stock.

  • Idioma: Inglés

    Editorial: De Gruyter, 2018

    3110516047 / 9783110516043

    Serie: Libro 2 de 256 - De Gruyter STEM

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

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    Condición: Nuevo

    EUR 120,03

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    Cantidad disponible: 1 disponibles

    Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences. On the other hand, the methodology proposed to solve such problems, which is based on an application of the maximum entropy method to invert the Laplace transform of the distributions, can be applied to many other problems. The book contains applications to a large variety of problems, including the problem of dependence of the sample data used to estimate empirically the Laplace transform of the random variable. Contents Introduction Frequency models Individual severity models Some detailed examples Some traditional approaches to the aggregation problem Laplace transforms and fractional moment problems The standard maximum entropy method Extensions of the method of maximum entropy Superresolution in maxentropic Laplace transform inversion Sample data dependence Disentangling frequencies and decompounding losses Computations using the maxentropic density Review of statistical procedures ; This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences. On the other hand, the methodology proposed to solve such problems, which is based on an application of the maximum entropy method to invert the Laplace transform of the distributions, can be applied to many other problems. The book contains applications to a large variety of problems, including the problem of dependence of the sample data used to estimate empirically the Laplace transform of the random variable.

  • Idioma: Inglés

    Editorial: De Gruyter, 2018

    3110516047 / 9783110516043

    Serie: Libro 2 de 256 - De Gruyter STEM

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    Condición: Nuevo

    EUR 73,86

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    Cantidad disponible: Más de 20 disponibles

    PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Idioma: Inglés

    Editorial: De Gruyter, De Gruyter Feb 2018, 2018

    3110516047 / 9783110516043

    Serie: Libro 2 de 256 - De Gruyter STEM

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

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    EUR 84,95

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences. On the other hand, the methodology proposed to solve such problems, which is based on an application of the maximum entropy method to invert the Laplace transform of the distributions, can be applied to many other problems. The book contains applications to a large variety of problems, including the problem of dependence of the sample data used to estimate empirically the Laplace transform of the random variable. Contents Introduction Frequency models Individual severity models Some detailed examples Some traditional approaches to the aggregation problem Laplace transforms and fractional moment problems The standard maximum entropy method Extensions of the method of maximum entropy Superresolution in maxentropic Laplace transform inversion Sample data dependence Disentangling frequencies and decompounding losses Computations using the maxentropic density Review of statistical procedures ; This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences. On the other hand, the methodology proposed to solve such problems, which is based on an application of the maximum entropy method to invert the Laplace transform of the distributions, can be applied to many other problems. The book contains applications to a large variety of problems, including the problem of dependence of the sample data used to estimate empirically the Laplace transform of the random variable. 210 pp. Englisch.

  • Idioma: Inglés

    Editorial: De Gruyter, 2018

    3110516047 / 9783110516043

    Serie: Libro 2 de 256 - De Gruyter STEM

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    Librería: moluna, Greven, Alemaniamoluna

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    EUR 72,37

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    Paperback. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance indu.

  • Idioma: Inglés

    Editorial: De Gruyter, De Gruyter Feb 2018, 2018

    3110516047 / 9783110516043

    Serie: Libro 2 de 256 - De Gruyter STEM

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Condición: Nuevo

    EUR 84,95

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    Cantidad disponible: 1 disponibles

    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences. On the other hand, the methodology proposed to solve such problems, which is based on an application of the maximum entropy method to invert the Laplace transform of the distributions, can be applied to many other problems. The book contains applications to a large variety of problems, including the problem of dependence of the sample data used to estimate empirically the Laplace transform of the random variable. Contents Introduction Frequency models Individual severity models Some detailed examples Some traditional approaches to the aggregation problem Laplace transforms and fractional moment problems The standard maximum entropy method Extensions of the method of maximum entropy Superresolution in maxentropic Laplace transform inversion Sample data dependence Disentangling frequencies and decompounding losses Computations using the maxentropic density Review of statistical proceduresDe Gruyter Mouton, Genthiner Straße 13, 10785 Berlin 210 pp. Englisch.