JOURNAL ARTICLE

Semi-parametric Bootstrap Confidence Intervals for High-Quantiles of Heavy-Tailed Distributions

Ji-Hyun Kim

Year: 2011 Journal:   Communications for Statistical Applications and Methods Vol: 18 (6)Pages: 717-732   Publisher: Korean Statistical Society

Abstract

꼬리가 두꺼운 분포의 고분위수에 대한 신뢰구간을 구할 때 적절한 붓스트랩 방법은 무엇인가에 대해 알아보았다. 비모수적 방법과 모수적 방법, 그리고 준모수적 방법의 성능을 모의실험을 통해 비교하였다. We consider bootstrap confidence intervals for high quantiles of heavy-tailed distribution. A semi-parametric method is compared with the non-parametric and the parametric method through simulation study.

Keywords:
Quantile Confidence interval Parametric statistics Statistics Mathematics Robust confidence intervals Parametric model Semiparametric model CDF-based nonparametric confidence interval Econometrics

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Citation History

Topics

Financial Risk and Volatility Modeling
Social Sciences →  Economics, Econometrics and Finance →  Finance
Advanced Statistical Methods and Models
Physical Sciences →  Mathematics →  Statistics and Probability
Statistical Distribution Estimation and Applications
Physical Sciences →  Mathematics →  Statistics and Probability

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