Estimating an endpoint of a distribution with resampling methods

DOI10.1214/AOS/1176346811zbMath0554.62037OpenAlexW2061794755MaRDI QIDQ760122

Weih-Yin Loh

Publication date: 1984

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176346811

zbMATH Keywords

bootstrapasymptotically valid confidence intervalsestimating an endpoint of a distributionrandom subsample methods

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Nonparametric tolerance and confidence regions (62G15)

Related Items (12)

Maximum likelihood estimation of extreme value index for irregular cases ⋮ Confidence intervals for endpoints of a c.d.f. via bootstrap ⋮ Bootstrapping endpoint ⋮ On dealing with the unknown population minimum in parametric inference ⋮ Estimating an endpoint with high-order moments ⋮ Bias reduction for endpoint estimation ⋮ On the estimation of Pareto fronts from the point of view of copula theory ⋮ A BIAS-CORRECTED NONPARAMETRIC ENVELOPMENT ESTIMATOR OF FRONTIERS ⋮ Comparing extreme models when the sign of the extreme value index is known ⋮ Empirical likelihood confidence intervals for the endpoint of a distribution function ⋮ Bootstrap Sample Size in Nonregular Cases ⋮ Does bias reduction with external estimator of second order parameter work for endpoint?

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