On the limiting joint distribution of the extreme order statistics
P. A. Scarf
Applied Stochastic Models and Data Analysis, 1993, vol. 9, issue 3, 267-278
Abstract:
The connection between extreme values and record‐low values is exploited to derive simply the limiting joint distribution of the r largest order statistics. The use of this distribution in the modelling of corrosion phenomena is considered, and the extrapolation of maxima in space and time is described in this context. There has been recent emphasis on movement away from classical extreme value theory to more efficient estimation procedures. This shift is continued with the illustration of the extra precision of predicted maxima obtained from a model based on extreme order statistics over the classical extreme value approach.
Date: 1993
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1002/asm.3150090307
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmda:v:9:y:1993:i:3:p:267-278
Access Statistics for this article
More articles in Applied Stochastic Models and Data Analysis from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().