On the Use of Lehmann’s Alternative to Capture Extreme Losses in Actuarial Science
Risks, 2023 This paper studies properties and applications related to the mixture of the class of distributions built by the Lehmann’s alternative (also referred to in the statistical literature as max-stable or exponentiated distribution) of the form [G(·)]λ, where
Emilio Gómez-Déniz +1 more
semanticscholar +1 more source
Publisher Correction: The development of an extended Weibull model with applications to medicine, industry and actuarial sciences. [PDF]
Sci RepImran M +6 more
europepmc +3 more sources
Axioms, 2023 This paper aims to find the actuarial tables that best represent the occurrences of mortality and disability in the Brazilian Armed Forces, thus providing a better dimensioning of the costs of military pensions to be paid by the pension system.
Marcos dos Santos +5 more
doaj +1 more source
The actuarial science editorship of the Accounting & Finance Review: some general considerations
Revista Contabilidade & Finanças, 2020 Luís Eduardo Afonso
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Alleviating Class Imbalance in Actuarial Applications Using Generative Adversarial Networks
Risks, 2021 To build adequate predictive models, a substantial amount of data is desirable. However, when expanding to new or unexplored territories, this required level of information is rarely always available.
Kwanda Sydwell Ngwenduna, Rendani Mbuvha
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On the generalized cumulative residual entropy with applications in actuarial science
Journal of Computational and Applied Mathematics, 2016 Georgios Psarrakos, Abdolsaeed Toomaj
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A Proposal Based on Stochastic Differential Equations for Income [PDF]
International Journal of Industrial Engineering and Production Research, 2023 Previous work has highlighted the need to apply stochastic modeling to understand the dynamics of phenomena occurring in the insurance industry. In this paper, for life insurance and applying a stochastic approach under efficient markets, we use survival
Luis Ceferino Franco-Arbeláez +2 more
doaj
Mixed Models for Predictive Modelling in Actuarial Science [PDF]
SSRN Electronic Journal, 2012 We start with a general discussion of mixed (also called multilevel) models and continue with illustrating specific (actuarial) applications of this type of models. Technical details on (linear, generalized, non-linear) mixed models follow: model assumptions, specifications, estimation techniques and methods of inference.
Katrien Antonio, Yanwei Zhang
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Modeling Vehicle Insurance Loss Data Using a New Member of T-X Family of Distributions
Journal of Statistical Theory and Applications (JSTA), 2020 In actuarial literature, we come across a diverse range of probability distributions for fitting insurance loss data. Popular distributions are lognormal, log-t, various versions of Pareto, log-logistic, Weibull, gamma and its variants and a generalized ...
Zubair Ahmad +3 more
doaj +1 more source
Modelling Motor Insurance Claim Frequency and Severity Using Gradient Boosting
Risks, 2023 Modelling claim frequency and claim severity are topics of great interest in property-casualty insurance for supporting underwriting, ratemaking, and reserving actuarial decisions. Standard Generalized Linear Models (GLM) frequency–severity models assume
Carina Clemente +2 more
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