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Uniform estimate for maximum of randomly weighted sums with applications to insurance risk theory 被引量:8

Uniform estimate for maximum of randomly weighted sums with applications to insurance risk theory
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摘要 This paper obtains the uniform estimate for maximum of sums of independent and heavy-tailed random variables with nonnegative random weights, which can be arbitrarily dependent of each other. Then the applications to ruin probabilities in a discrete time risk model with dependent stochastic returns are considered. This paper obtains the uniform estimate for maximum of sums of independent and heavy-tailed random variables with nonnegative random weights,which can be arbi- trarily dependent of each other.Then the applications to ruin probabilities in a discrete time risk model with dependent stochastic returns are considered.
出处 《Science China Mathematics》 SCIE 2005年第10期1379-1394,共16页 中国科学:数学(英文版)
基金 This work was supported by the National Natural Science Foundation of China(Grant Nos.70272001&10371117) The first author's work was also supported by China Postdoctoral Science Foundation(Grant No.2005037809) Foundation from the Youth Science and Technology of Uestc(Grant No.JX 03038).
关键词 dependent stochastic return DISCOUNT factor heavy-tails discrete time INSURANCE risk model MAXIMA of randomly weighted sums RUIN probability tail probabilities UNIFORMLY asymptotic estimate. dependent stochastic return discount factor heavy-tails discrete time insurance risk model maxima of randomly weighted sums ruin probability tail probabilities uniformly asymptotic estimate.
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