On the estimation of the adjustment coefficient in risk theory via intermediate order statistics
DOI10.1016/0167-6687(91)90022-PzbMath0732.62100OpenAlexW2110026204MaRDI QIDQ808605
Miklós Csörgő, Josef G. Steinebach
Publication date: 1991
Published in: Insurance Mathematics \& Economics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-6687(91)90022-p
rates of convergenceruin probabilitylight trafficstrong consistencyrisk theoryqueueing modelslaws of iterated logarithmsimulation studiesbusy cyclesestimation of adjustment coefficientsmaximum waiting timessequence of intermediate order statistics
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Related Items (14)
Cites Work
- Extremes and related properties of random sequences and processes
- Limiting multivariate distributions of intermediate order statistics
- A note on the adjustment coefficient in ruin theory
- Strong laws for the k-th order statistic when k\(\leq c\,\log _ 2\,n\)
- Estimates for the probability of ruin starting with a large initial reserve
- On the tail behaviour of quantile processes
- Approximation of intermediate quantile processes
- On the estimation of the adjustment coefficient in risk theory by means of stochastic approximation procedures
- Empirical Laplace transform and approximation of compound distributions
- A note on positive supermartingales in ruin theory
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