Fitting the generalized Pareto distribution to data based on transformations of order statistics
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Publication:5036523
DOI10.1080/02664763.2018.1495700OpenAlexW2884299763MaRDI QIDQ5036523
Xu Zhao, Haiqing Chen, Wei-hu Cheng, Yao-hua Rong
Publication date: 23 February 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2018.1495700
Point estimation (62F10) Order statistics; empirical distribution functions (62G30) Applications of statistics (62Pxx)
Uses Software
Cites Work
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- Extended generalised Pareto models for tail estimation
- Statistical inference using extreme order statistics
- A simple general approach to inference about the tail of a distribution
- Extreme value analysis of environmental time series: an application to trend detection in ground-level ozone. With comments and a rejoinder by the author
- LIKELIHOOD MOMENT ESTIMATION FOR THE GENERALIZED PARETO DISTRIBUTION
- Parameter and Quantile Estimation for the Generalized Pareto Distribution
- Fitting the Generalized Pareto Distribution to Data
- Computing Maximum Likelihood Estimates for the Generalized Pareto Distribution
- THE DISTRIBUTION OF THE RATIO, IN A SINGLE NORMAL SAMPLE, OF RANGE TO STANDARD DEVIATION
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