An adaptive optimal estimate of the tail index for MA(l) time series

Author:

Geluk J.L.,Peng Liang

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference20 articles.

1. Bingham, N.H., Goldie, C.M., Teugels, J.L. 1987. Regular variation. Cambridge University Press, Cambridge.

2. The use of subseries values for estimating the variance of a general statistic from a stationary sequence;Carlstein;Ann. Statist.,1986

3. Danielsson, J., de Haan, L., Peng, L., de Vries, C.G., 1997. Using a bootstrap method to choose the sample fraction in the tail index estimation. Technical Report. Erasmus University, Rotterdam.

4. Inference for the tail parameters of a linear process with heavy tailed innovations;Datta;Ann. Inst. Stat. Math.,1995

5. A moment estimator for the index of an extreme value distribution;Dekkers;Ann. Statist.,1989

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4. Heavy-Tail Phenomena;Springer Series in Operations Research and Financial Engineering;2007

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