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addClaim

gpitt71/gemact-code: v.1.1.0

Authors: Edoardo; Gabriele Pittarello;

gpitt71/gemact-code: v.1.1.0

Abstract

In this new version of the package we release new functionalities for the different models. LossModel Closed form moments of the aggregate loss distribution with the parameter use_dist in the methods mean, std, var, and skewness and coeff_variation. threshold parameter for modeling the analysis threshold of Frequency. In Severity, new methods: censored_mean, censored_std, censored_var, censored_skewness, and censored_coeff_variation . LossAggregation New methods: lev and censored_moments. Data sets New data sets in gemdata for claims reserving LossReserve More explicit names for the parameters of AggregateData. For the CRM model it is possible to indicate the mixing frequency and mixing severity parameters as an int.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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