Does how long observing correlate with upper record value? Fukushima nuclear disaster’s radiation levels are illustrated
Ramalingam Shanmugam
Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 13, 4487-4499
Abstract:
In this paper, an expression for computing the Pearson’s correlation coefficient between the random upper record value, X and the random number of observations, Y is obtained. Also derived are theoretical results for the joint bivariate probability function (pf) of X and Y, their marginal pf, and an alternate expression (to the correlation coefficient) measuring their dependence, where the support for X depends on an unknown threshold and an terminal parameter. Furthermore, some distributional properties are presented. The results are new to the literature on upper record value and interesting from the practicality and usefulness of upper record values. Analogous results for the lower record value are made available in another article. The concept and the derived expressions are illustrated using the recorded radiation levels in a nuclear disaster on March 2011 at Fukushima, Japan.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2020.1815783 (text/html)
Access to full text is restricted to subscribers.
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:taf:lstaxx:v:51:y:2022:i:13:p:4487-4499
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2020.1815783
Access Statistics for this article
Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe
More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().