Cargando…
A Method for Confidence Intervals of High Quantiles
The high quantile estimation of heavy tailed distributions has many important applications. There are theoretical difficulties in studying heavy tailed distributions since they often have infinite moments. There are also bias issues with the existing methods of confidence intervals (CIs) of high qua...
Autores principales: | Huang, Mei Ling, Raney-Yan, Xiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7823321/ https://www.ncbi.nlm.nih.gov/pubmed/33406678 http://dx.doi.org/10.3390/e23010070 |
Ejemplares similares
-
Confidence interval for quantiles and percentiles
por: Ialongo, Cristiano
Publicado: (2018) -
Confidence Interval Estimation for Precipitation Quantiles Based on Principle of Maximum Entropy
por: Wei, Ting, et al.
Publicado: (2019) -
High quantile regression for extreme events
por: Huang, Mei Ling, et al.
Publicado: (2017) -
HOW CONFIDENT IS THE CONFIDENCE INTERVAL
por: Egbuchulem, K.I.
Publicado: (2022) -
An Algorithm of Nonparametric Quantile Regression
por: Huang, Mei Ling, et al.
Publicado: (2023)