Non-Life Insurance Pricing with Generalized Linear Models [electronic resource] / by Esbjȵrn Ohlsson, Bjȵrn Johansson.

Por: Ohlsson, Esbjȵrn [author.]Colaborador(es): Johansson, Bjȵrn [author.]Tipo de material: TextoTextoSeries EAA Lecture NotesEditor: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010Descripción: XIII, 174 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642107917Trabajos contenidos: SpringerLink (Online service)Tema(s): Mathematics | Finance | Economics -- Statistics | Mathematics | Quantitative Finance | Statistics for Business/Economics/Mathematical Finance/InsuranceFormatos físicos adicionales: Sin títuloClasificación CDD: 519 Clasificación LoC:HB135-147Recursos en línea: de clik aquí para ver el libro electrónico
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Springer eBooksResumen: Setting the price of a non-life insurance policy involves the statistical analysis of insurance data, taking into consideration various properties of the insured object and the policy holder. Introduced by British actuaries, generalized linear models (GLMs) have by now become a standard approach used for pricing in many countries. The book focuses on methods based on GLMs that have been found useful in actuarial practice. Basic theory of GLMs in an insurance setting is presented, with useful extensions that are not in common use. The book can be used in actuarial education designed to meet the European Core Syllabus and is written for actuarial students as well as practicing actuaries. To support the readers, it contains case studies using real data of some complexity that are available on the www.
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Non-Life Insurance Pricing -- The Basics of Pricing with GLMs -- GLM Model Building -- Multi-Level Factors and Credibility Theory -- Generalized Additive Models.

Setting the price of a non-life insurance policy involves the statistical analysis of insurance data, taking into consideration various properties of the insured object and the policy holder. Introduced by British actuaries, generalized linear models (GLMs) have by now become a standard approach used for pricing in many countries. The book focuses on methods based on GLMs that have been found useful in actuarial practice. Basic theory of GLMs in an insurance setting is presented, with useful extensions that are not in common use. The book can be used in actuarial education designed to meet the European Core Syllabus and is written for actuarial students as well as practicing actuaries. To support the readers, it contains case studies using real data of some complexity that are available on the www.

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