Abstract
The nonparametric estimators of net premiums in collective models of insurance for the different statuses of collective life insurance are proposed. The asymptotic normality and mean square convergence of the proposed estimates are proved. The main parts of asymptotic mean square errors (MSEs) for estimators of net premiums are found. The results of simulations show that the nonparametric estimates are just as good in practice.
Supported by Russian Foundation for Basic Research, projects 13-08-00744, Tomsk State University Competitiveness Improvement Program, and the project “Goszadanie Minobrnauki Rossii”.
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Koshkin, G., Lopukhin, Y. (2014). Nonparametric Estimation of Net Premium Functionals for Different Statuses in Collective Life Insurance. In: Dudin, A., Nazarov, A., Yakupov, R., Gortsev, A. (eds) Information Technologies and Mathematical Modelling. ITMM 2014. Communications in Computer and Information Science, vol 487. Springer, Cham. https://doi.org/10.1007/978-3-319-13671-4_27
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DOI: https://doi.org/10.1007/978-3-319-13671-4_27
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