Exact Distribution of Argmax (Argmin)
Habibi Reza ()
Additional contact information
Habibi Reza: Department of Statistics, Central Bank of Iran, Ferdowsi Ave., 1135931496 Tehran, Iran.
Stochastics and Quality Control, 2011, vol. 26, issue 2, 155-162
Abstract:
This paper is concerned with the exact distribution of argmax (argmin) of a sequence of random variables. By argmax (argmin), we mean the random variable which attains the maximum (minimum) of the sequence. Change point estimators are of this type and the asymptotic distribution of this kind of estimator is studied extensively in literature. However, the exact distributions is generally not considered. Therefore, this paper is devoted to the exact distributions of the argmax in case of several examples. Finally, an approximation method is proposed.
Keywords: Change Point; Exact Distribution; Monte Carlo Simulation (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/EQC.2011.015 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
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:bpj:ecqcon:v:26:y:2011:i:2:p:155-162:n:7
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/eqc/html
DOI: 10.1515/EQC.2011.015
Access Statistics for this article
Stochastics and Quality Control is currently edited by George P. Yanev
More articles in Stochastics and Quality Control from De Gruyter
Bibliographic data for series maintained by Peter Golla ().