Bias-reduced estimators of the Weibull tail-coefficient
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DOI: 10.1007/s11749-006-0034-6
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Cited by:
- M. Ivette Gomes & Armelle Guillou, 2015. "Extreme Value Theory and Statistics of Univariate Extremes: A Review," International Statistical Review, International Statistical Institute, vol. 83(2), pages 263-292, August.
- Jan Beirlant & John H. J. Einmahl, 2010.
"Asymptotics for the Hirsch Index,"
Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 37(3), pages 355-364, September.
- Beirlant, J. & Einmahl, J.H.J., 2007. "Asymptotics for the Hirsch Index," Other publications TiSEM 2670b5ef-bb04-4ce8-82b2-7, Tilburg University, School of Economics and Management.
- Beirlant, J. & Einmahl, J.H.J., 2007. "Asymptotics for the Hirsch Index," Discussion Paper 2007-86, Tilburg University, Center for Economic Research.
- Yuri Goegebeur & Armelle Guillou, 2011. "A weighted mean excess function approach to the estimation of Weibull-type tails," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(1), pages 138-162, May.
- de Valk, Cees, 2016. "A large deviations approach to the statistics of extreme events," Other publications TiSEM 117b3ba0-0e40-4277-b25e-d, Tilburg University, School of Economics and Management.
- Gardes, Laurent & Girard, Stéphane, 2016. "On the estimation of the functional Weibull tail-coefficient," Journal of Multivariate Analysis, Elsevier, vol. 146(C), pages 29-45.
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Keywords
Weibull tail-coefficient; Bias-reduction; Least-squares approach; Asymptotic normality; 62G05; 62G20; 62G30;All these keywords.
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Statistics
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