# Estimation of confidence intervals for the mean of heavy tailed loss distributions: A comparative study using a simulation method

@inproceedings{Tursunalieva2009EstimationOC, title={Estimation of confidence intervals for the mean of heavy tailed loss distributions: A comparative study using a simulation method}, author={A. Tursunalieva}, year={2009} }

This paper uses nonparametric methods to estimate the confidence intervals for the mean of asymmetric heavy tailed loss distributions. The nonparametric methods employed are the m out of n bootstrap, subsampling bootstrap, refined bootstrap, empirical likelihood ratio method, and bootstrap calibrated empirical likelihood methods. We evaluate the accuracy and compare the performance of the confidence interval estimates for the mean via a simulation study. In terms of the coverage probabilities… Expand

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#### References

SHOWING 1-10 OF 42 REFERENCES

Using the bootstrap to estimate mean squared error and select smoothing parameter in nonparametric problems

- Mathematics
- 1990

The Bootstrap Methodology in Statistics of Extremes—Choice of the Optimal Sample Fraction

- Mathematics
- 2001