Bootstrap Method for Order Statistics and Modeling Study of the Air Pollution

DOI10.1080/03610918.2013.805051zbMath1328.62292OpenAlexW2012211654MaRDI QIDQ5265807

E. M. Nigm, F. A. Momenkhan, O. M. Khaled, H. M. Barakat

Publication date: 29 July 2015

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.805051

zbMATH Keywords

air pollutionweak consistencygeneralized Pareto distributionKolmogorov-Smirnov testbootstrap techniquegeneralized extreme value model

Mathematics Subject Classification ID

Statistics of extreme values; tail inference (62G32) Bootstrap, jackknife and other resampling methods (62F40)

Related Items (4)

Bootstrap method for central and intermediate order statistics under power normalization ⋮ The Hill estimators under power normalization ⋮ The estimations under power normalization for the tail index, with comparison ⋮ Improved inference for the generalized Pareto distribution under linear, power and exponential normalization

Cites Work

• Statistical inference using extreme order statistics
• Bootstrap methods: another look at the jackknife
• Confidence intervals for endpoints of a c.d.f. via bootstrap
• Bootstrapping extremes of random variables under power normalization
• Maximum likelihood estimation in a class of nonregular cases
• On Limit Distributions for Order Statistics

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