A Max-Min Model of Random Variables in Bivariate Random Sequences

dc.contributor.author Bayramoglu Ismihan
dc.contributor.author Gebizlioglu, Omer L.
dc.date.accessioned 2023-06-16T12:59:02Z
dc.date.available 2023-06-16T12:59:02Z
dc.date.issued 2021
dc.description.abstract We introduce a max-min model to bivariate random sequences and applying bivariate binomial distribution in fourfold scheme derive the distributions of associated order statistics in a new model. Some examples for special cases are presented and applications of the results in reliability analysis and actuarial sciences are discussed. (C) 2020 Elsevier B.V. All rights reserved. en_US
dc.identifier.doi 10.1016/j.cam.2020.113304
dc.identifier.issn 0377-0427
dc.identifier.issn 1879-1778
dc.identifier.scopus 2-s2.0-85097337979
dc.identifier.uri https://doi.org/10.1016/j.cam.2020.113304
dc.identifier.uri https://hdl.handle.net/20.500.14365/1111
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartof Journal of Computatıonal And Applıed Mathematıcs en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Bivariate binomial distribution en_US
dc.subject Bivariate random sample en_US
dc.subject Sequence of random variables en_US
dc.subject Order statistics en_US
dc.subject Time en_US
dc.title A Max-Min Model of Random Variables in Bivariate Random Sequences en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Gebizlioglu, Ömer/0000-0002-3824-281X
gdc.author.id Bayramoglu, Ismihan/0000-0002-8575-8405
gdc.author.scopusid 57205586773
gdc.author.scopusid 8849861700
gdc.author.wosid Gebizlioglu, Ömer/ABF-8970-2021
gdc.author.wosid Bayramoglu, Ismihan/E-7721-2018
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Ekonomi Üniversitesi en_US
gdc.description.departmenttemp [Bayramoglu, Ismihan] Izmir Univ Econ, Dept Math, Izmir, Turkey; [Gebizlioglu, Omer L.] Kadir Has Univ, Dept Int Trade & Finance, Istanbul, Turkey en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.volume 388 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W3106933752
gdc.identifier.wos WOS:000609365600036
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 1.0
gdc.oaire.influence 2.5287377E-9
gdc.oaire.isgreen false
gdc.oaire.keywords Bivariate binomial distribution
gdc.oaire.keywords Bivariate random sample
gdc.oaire.keywords Order statistics
gdc.oaire.keywords Sequence of random variables
gdc.oaire.keywords Minimax procedures in statistical decision theory
gdc.oaire.keywords Multivariate distribution of statistics
gdc.oaire.keywords bivariate binomial distribution
gdc.oaire.keywords sequence of random variables
gdc.oaire.keywords order statistics
gdc.oaire.keywords Order statistics; empirical distribution functions
gdc.oaire.keywords Random fields
gdc.oaire.keywords bivariate random sample
gdc.oaire.popularity 2.3071756E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0101 mathematics
gdc.oaire.sciencefields 01 natural sciences
gdc.openalex.collaboration National
gdc.openalex.fwci 0.1699
gdc.openalex.normalizedpercentile 0.63
gdc.opencitations.count 1
gdc.plumx.crossrefcites 1
gdc.plumx.mendeley 1
gdc.plumx.scopuscites 1
gdc.scopus.citedcount 1
gdc.virtual.author Bayramoğlu, İsmihan
gdc.wos.citedcount 1
relation.isAuthorOfPublication 5cca45e3-ba33-4b5e-a015-0f97281ded80
relation.isAuthorOfPublication.latestForDiscovery 5cca45e3-ba33-4b5e-a015-0f97281ded80
relation.isOrgUnitOfPublication 9fb4f7d7-bc42-4427-abc8-046d10845333
relation.isOrgUnitOfPublication a42dba5b-3d5d-430e-8f4c-10d6dbc69123
relation.isOrgUnitOfPublication e9e77e3e-bc94-40a7-9b24-b807b2cd0319
relation.isOrgUnitOfPublication.latestForDiscovery 9fb4f7d7-bc42-4427-abc8-046d10845333

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
124.pdf
Size:
693.2 KB
Format:
Adobe Portable Document Format