Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Marina Ravera"'
Autor:
Maria Erminia Marina, Marina Ravera
Publikováno v:
Insurance Markets and Companies, Vol 4, Iss 2 (2013)
Externí odkaz:
https://doaj.org/article/ea48b7da07d242f38ed7dfcc175d6c54
In this paper we consider two-dimensional risk models where the claim counting processes of the two classes of business are assumed to be Poisson processes. We assume that the dividends are paid because of the presence of a reflecting upper barrier.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efe5389693c38c68e15b6d83b75c9f62
http://hdl.handle.net/11567/937601
http://hdl.handle.net/11567/937601
Publikováno v:
Theoretical Economics Letters. :90-95
We consider a modified version of the classical Cramer-Lundberg risk model. In particular, we assume two classes of insurance business dependent through the claim number process Ni, i=1,2: we consider that the number of claims is generated by a bivar
In this paper, we study an optimal reinsurance strategy combining a proportional and an excess of loss reinsurance. We refer to a collective risk theory model with two classes of dependent risks; particularly, the claim number of the two classes of i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::758134a128760e42013342fcb2e3096b
http://hdl.handle.net/11567/839711
http://hdl.handle.net/11567/839711
The paper deals with the optimal proportional reinsurance in a collective risk theory model involving two classes of insurance business. These classes are dependent through the number of claims. The objective of the insurer is to choose an optimal re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d136bae1bba0fd0e0651765645c2c66
http://hdl.handle.net/11567/809631
http://hdl.handle.net/11567/809631
Autor:
Marina Resta, Marina Ravera
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783642352294
WSOM
WSOM
In this paper we introduce a general model framework based on Self Organizing Maps (SOMs) to explore the behavior of populations mortality rates and life expectancy. In particular, we show how to employ SOM clustering capabilities to construct cohere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d820be25ad48db6b3fb6c38547753e21
http://hdl.handle.net/11567/471119
http://hdl.handle.net/11567/471119
Publikováno v:
International journal of cancer. 19(2)
In lifespan studies, outbred male and female Wistar rats were given either technical DDT mixed into the diet at a dose of 500 parts per million (ppm) or phenobarbital-sodium dissolved in drinking water at a dose of 500 ppm. Liver-cell tumors develope