Isbn: 9783631597590 - risk classification by means of clustering: 4 (5 risultati)

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    • Lingua: Inglese

      Editore: Peter Lang, Peter Lang, 2010

      3631597592 / 9783631597590

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

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      Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Determining risk-adequate insurance premiums is a core issue in actuarial mathematics. This study is specifically concerned with identifying convenient partitions of (general) insurance collectives such that the resulting tariff classes are homogeneous to a maximum extent and - on the other hand - yet large enough to allow for the occurrence of the group balance concept and to end up with reliable estimates of the moments of the claim size distributions. Therefore, the author develops an innovative classification algorithm utilizing a multidimensional cluster approach combined with credibility-theoretical implications. Its construction stems from involving the entire claim information of risks simultaneously and in a suitable manner, and particulary from obtaining optimality regarding the cluster criterions. Under certain conditions, commonly used cross classification schemes are shown to be a particular case of the new approach. Besides desirable theoretical benefits like its generalizing established cross classification systems, an empirical investigation also suggests the practical superiority of the new algorithm.; Dissertationsschrift.

    • Lingua: Inglese

      Editore: Peter Lang Jan 2010, 2010

      3631597592 / 9783631597590

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

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      Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Determining risk-adequate insurance premiums is a core issue in actuarial mathematics. This study is specifically concerned with identifying convenient partitions of (general) insurance collectives such that the resulting tariff classes are homogeneous to a maximum extent and - on the other hand - yet large enough to allow for the occurrence of the group balance concept and to end up with reliable estimates of the moments of the claim size distributions. Therefore, the author develops an innovative classification algorithm utilizing a multidimensional cluster approach combined with credibility-theoretical implications. Its construction stems from involving the entire claim information of risks simultaneously and in a suitable manner, and particulary from obtaining optimality regarding the cluster criterions. Under certain conditions, commonly used cross classification schemes are shown to be a particular case of the new approach. Besides desirable theoretical benefits like its generalizing established cross classification systems, an empirical investigation also suggests the practical superiority of the new algorithm. 200 pp. Englisch.

    • Lingua: Inglese

      Editore: Peter Lang, 2010

      3631597592 / 9783631597590

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      Da: moluna, Greven, Germaniamoluna

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Determining risk-adequate insurance premiums is a core issue in actuarial mathematics, this study is concerned with identifying convenient partitions of insurance collectives such that resulting tariff classes are homogeneous to a maximum extent.Determi.

    • Lingua: Inglese

      Editore: Peter Lang, Peter Lang Jan 2010, 2010

      3631597592 / 9783631597590

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Determining risk-adequate insurance premiums is a core issue in actuarial mathematics. This study is specifically concerned with identifying convenient partitions of (general) insurance collectives such that the resulting tariff classes are homogeneous to a maximum extent and ¿ on the other hand ¿ yet large enough to allow for the occurrence of the group balance concept and to end up with reliable estimates of the moments of the claim size distributions. Therefore, the author develops an innovative classification algorithm utilizing a multidimensional cluster approach combined with credibility-theoretical implications. Its construction stems from involving the entire claim information of risks simultaneously and in a suitable manner, and particulary from obtaining optimality regarding the cluster criterions. Under certain conditions, commonly used cross classification schemes are shown to be a particular case of the new approach. Besides desirable theoretical benefits like its generalizing established cross classification systems, an empirical investigation also suggests the practical superiority of the new algorithm.Lang, Peter GmbH, Gontardstraße 11, 10178 Berlin 200 pp. Englisch.

    • Lingua: Inglese

      Editore: Peter Lang, 2010

      3631597592 / 9783631597590

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      Da: preigu, Osnabrück, Germaniapreigu

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      Buch. Condizione: Neu. Risk Classification by Means of Clustering | Bernhard Christian Kübler | Buch | Schriften zum Controlling, Finanz- und Risikomanagement | Englisch | 2010 | Peter Lang | EAN 9783631597590 | Verantwortliche Person für die EU: Lang, Peter GmbH, Gontardstr. 11, 10178 Berlin, r[dot]boehm-korff[at]peterlang[dot]com | Anbieter: preigu Print on Demand.