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发表于 2025-3-28 17:49:29
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Soliloquy
发表于 2025-3-29 02:08:25
https://doi.org/10.1007/978-3-030-35176-2non-life insurance; life insurance; empirical Bayes; tails of sums; in homogeneous Markov processes; valu
符合规定
发表于 2025-3-29 06:19:11
Chapter XIII: Selected Further Topics, often arise, and the total claim amount may not be known at the time the claim occurs. One typical example is accident insurance, where the degree of disability is not a priori known and treatment takes place over a period.
cortisol
发表于 2025-3-29 09:38:51
Chapter II: Experience Rating,Let . = (.., …, ..) be a vector of r.v.s describing the outcome of a statistical experiment. For example, in the insurance context, . can be the number of persons insured for losses due to accidents in the previous year, and .. the payment made to the .th.
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发表于 2025-3-29 13:35:27
Chapter III: Sums and Aggregate Claims,In this chapter, we study the often encountered problem of assessing the order of magnitude of . for some sequence .., .., … of r.v.s and .. = .. + ⋯ + ... In many applications, . is an r.v. . rather than deterministic, and the object of interest is then ..
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发表于 2025-3-29 18:49:25
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prediabetes
发表于 2025-3-30 07:14:41
Chapter VII: Special Studies in Life Insurance,In this section, we study two extensions to the general Markov framework studied in Chap. V. The two extensions draw to some extent on the same mathematical generalization, but arise from two practically very different sources. One extension is an extension to duration-dependent intensities.