Some concept of Markov property of discrete order statistics arising from independent and non-identically distributed variables
Krzysztof Jasiński
Statistics & Probability Letters, 2020, vol. 160, issue C
Abstract:
Let X1:n≤⋯≤Xn:n be order statistics related to independent, identically distributed discrete X1,…,Xn. The sequence (Xi:n,T˜i)i=1n exhibits Markovian property, where T˜i=#{j≤i:Xj:n=Xi:n}. We extend this result by considering order statistics from independent and not necessarily identically distributed discrete random variables.
Keywords: Order statistics; Discrete distribution; Not identically distributed random variables (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715220300213
Full text for ScienceDirect subscribers only
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:eee:stapro:v:160:y:2020:i:c:s0167715220300213
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.spl.2020.108718
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().