Goovaerts marc (80 risultati)

Condizione: Very Good. : Modern Actuarial Risk Theory es un libro que explora en profundidad la teoría del riesgo actuarial. Cubre temas como la evaluación y gestión de riesgos en seguros, estadísticas económicas y ciencias de la gestión. Escrito por Michel Denuit, Jan Dhaene, Marc Goovaerts y Rob Kaas, esta edición en tapa blanda ofrece un análisis detallado y es ideal para estudiantes y profesionales en el campo de los seguros y la economía. EAN: 9781402029523 Tipo: Libros Categoría: Negocios y Economía|Ciencias Título: Modern Actuarial Risk Theory Autor: Michel Denuit| Jan Dhaene| Marc Goovaerts| Rob Kaas Editorial: Springer Idioma: en Páginas: 328 Formato: tapa blanda.…

TAPA BLANDA. Condizione: New.

hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condizione: New.

Condizione: New.

Condizione: New. pp. 400 2nd Edition.

Condizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Condizione: As New. Unread book in perfect condition.

Hardcover. 487pp. APPEARS UNREAD; Ex-library copy with usual markings, else very good sound condition.

Condizione: New. pp. 400 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Condizione: New. pp. 400.

Condizione: New.

Paperback. Condizione: New. 2nd ed. 2008. Modern Actuarial Risk Theory contains what every actuary needs to know about non-life insurance mathematics. It starts with the standard material like utility theory, individual and collective model and basic ruin theory. Other topics are risk measures and premium principles, bonus-malus systems, ordering of risks and credibility theory. It also contains some chapters about Generalized Linear Models, applied to rating and IBNR problems. As to the level of the mathematics, the book would fit in a bachelors or masters program in quantitative economics or mathematical statistics. This second and much expanded edition emphasizes the implementation of these techniques through the use of R. This free but incredibly powerful software is rapidly developing into the de facto standard for statistical computation, not just in academic circles but also in practice. With R, one can do simulations, find maximum likelihood estimators, compute distributions by inverting transforms, and much more.…

Condizione: New. In English.

Hardcover. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 3-4 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condizione: New. pp. xvii + 440 Illus.

Condizione: New. pp. xvii + 440.

Condizione: New. In English.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.

Condizione: As New.

504pp.geïll., linnen band met goudopdruk, geïll.stofwikkel.

Paperback. Condizione: New. 2nd ed. 2008. Modern Actuarial Risk Theory contains what every actuary needs to know about non-life insurance mathematics. It starts with the standard material like utility theory, individual and collective model and basic ruin theory. Other topics are risk measures and premium principles, bonus-malus systems, ordering of risks and credibility theory. It also contains some chapters about Generalized Linear Models, applied to rating and IBNR problems. As to the level of the mathematics, the book would fit in a bachelors or masters program in quantitative economics or mathematical statistics. This second and much expanded edition emphasizes the implementation of these techniques through the use of R. This free but incredibly powerful software is rapidly developing into the de facto standard for statistical computation, not just in academic circles but also in practice. With R, one can do simulations, find maximum likelihood estimators, compute distributions by inverting transforms, and much more.…

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.