International audienceIn this paper, we consider the problem of estimating an extreme quantile of a Weibull tail-distribution. The new extreme quantile estimator has a reduced bias compared to the more classical ones proposed in the literature. It is based on an exponential regression model that was introduced in Diebolt et al. (2008). Its asymptotic normality is established and a small simulation study is provided in order to illustrate its efficiency
International audienceWe present a nonparametric family of estimators for the tail coefficient of a ...
International audienceThe estimation of extreme quantiles requires adapted methods to extrapolate be...
Weissman extrapolation device for estimating extreme quantiles from heavy-tailed distribution is bas...
International audienceIn this paper, we consider the problem of estimating an extreme quantile of a ...
International audienceIn the case of Weibull tail distributions, the most commonly used methodology ...
International audienceIn the case of Weibull tail distributions, the most commonly used methodology ...
We address the estimation of extreme quantiles of Weibull tail-distributions. Since such quantiles a...
International audienceA new estimator for extreme quantiles is proposed under the log-generalized We...
International audienceThe Weibull-tail class of distributions is a sub-class of the Gumbel extreme d...
International audienceIn Gardes et al. (2011), a new family of distributions is introduced, dependin...
This thesis considers estimation of the quantiles of the smallest extreme value distribution, someti...
National audienceExtreme quantile estimation remains a major statistical challenge. In this communic...
By assuming that the underlying distribution belongs to the domain of attraction of an extreme value...
International audienceWe present a nonparametric family of estimators for the tail coefficient of a ...
International audienceThe estimation of extreme quantiles requires adapted methods to extrapolate be...
Weissman extrapolation device for estimating extreme quantiles from heavy-tailed distribution is bas...
International audienceIn this paper, we consider the problem of estimating an extreme quantile of a ...
International audienceIn the case of Weibull tail distributions, the most commonly used methodology ...
International audienceIn the case of Weibull tail distributions, the most commonly used methodology ...
We address the estimation of extreme quantiles of Weibull tail-distributions. Since such quantiles a...
International audienceA new estimator for extreme quantiles is proposed under the log-generalized We...
International audienceThe Weibull-tail class of distributions is a sub-class of the Gumbel extreme d...
International audienceIn Gardes et al. (2011), a new family of distributions is introduced, dependin...
This thesis considers estimation of the quantiles of the smallest extreme value distribution, someti...
National audienceExtreme quantile estimation remains a major statistical challenge. In this communic...
By assuming that the underlying distribution belongs to the domain of attraction of an extreme value...
International audienceWe present a nonparametric family of estimators for the tail coefficient of a ...
International audienceThe estimation of extreme quantiles requires adapted methods to extrapolate be...
Weissman extrapolation device for estimating extreme quantiles from heavy-tailed distribution is bas...