Limit theorems for randomly selected adjacent order statistics from a Pareto distribution
André Adler
International Journal of Mathematics and Mathematical Sciences, 2005, vol. 2005, 1-15
Abstract:
Consider independent and identically distributed random variables { X n k , 1 ≤ k ≤ m , n ≥ 1 } from the Pareto distribution. We randomly select two adjacent order statistics from each row, X n ( i ) and X n ( i + 1 ) , where 1 ≤ i ≤ m − 1 . Then, we test to see whether or not strong and weak laws of large numbers with nonzero limits for weighted sums of the random variables X n ( i + 1 ) / X n ( i ) exist, where we place a prior distribution on the selection of each of these possible pairs of order statistics.
Date: 2005
References: Add references at CitEc
Citations:
Downloads: (external link)
http://downloads.hindawi.com/journals/IJMMS/2005/853426.pdf (application/pdf)
http://downloads.hindawi.com/journals/IJMMS/2005/853426.xml (text/xml)
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:hin:jijmms:853426
DOI: 10.1155/IJMMS.2005.3427
Access Statistics for this article
More articles in International Journal of Mathematics and Mathematical Sciences from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().