Limiting Distributions for the Minimum-Maximum Models
Ling Peng and
Lei Gao
Additional contact information
Ling Peng: School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai 200240, China
Lei Gao: School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai 200240, China
Mathematics, 2019, vol. 7, issue 8, 1-11
Abstract:
We consider the extreme value problem of the minimum-maximum models for the independent and identically distributed random sequence and stationary random sequence, respectively. By invoking some probability formulas and Taylor’s expansions of the distribution functions, the limiting distributions for these two kinds of sequences are obtained. Moreover, convergence analysis is carried out for those extreme value distributions. Several numerical experiments are conducted to validate our theoretical results.
Keywords: extreme value distribution; minimum-maximum model; convergence analysis; numerical experiments (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-7390/7/8/719/pdf (application/pdf)
https://www.mdpi.com/2227-7390/7/8/719/ (text/html)
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:gam:jmathe:v:7:y:2019:i:8:p:719-:d:255637
Access Statistics for this article
Mathematics is currently edited by Ms. Emma He
More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().