Second order Expansions for Extreme Quantiles of Burr Distributions and Asymptotic Theory of Record Values
Moumouni Diallo, Modou Ngom, Soumaila Dembele, Gane Samb Lo

TL;DR
This paper develops second order expansions for extreme quantiles of Burr distributions and applies these to analyze record values, leading to new statistical tests in extreme value theory.
Contribution
It provides novel second order quantile expansions for Burr distributions and uses them to characterize record value asymptotics and develop new statistical tests.
Findings
Derived second order quantile expansions for Burr distributions.
Characterized asymptotic laws of record values for Burr distributions.
Proposed new statistical tests based on these asymptotic laws.
Abstract
In this paper we investigate the Burr distributions family which contains twelve members. Second order expansions of quantiles of the Burr's distributions are provided on which may be based statistical methods, in particular in extreme value theory. Beyond the proper interest of these expansions, we apply them to characterize the asymptotic laws of their records of Burr's distributions, lead to new statistical tests.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStatistical Distribution Estimation and Applications · Bayesian Methods and Mixture Models · Financial Risk and Volatility Modeling
