MINIMAX PROBLEM FOR THE ROMANOVSKY DISTRIBUTION IN THE Lγ METRIC

dc.contributor.authorYusupova A. K.
dc.date.accessioned2025-12-29T13:42:22Z
dc.date.issued2025-05-28
dc.description.abstractThe article solves the minimax problem for the Romanovsky distribution in the Lj metric.Convergence theorems for variation of the Romanovsky distribution to normal, binomial,negative-binomial distributions, Poisson distributions, Erlang distributions, and betdistributions are given.
dc.formatapplication/pdf
dc.identifier.urihttps://webofjournals.com/index.php/12/article/view/4374
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/20671
dc.language.isoeng
dc.publisherWeb of Journals Publishing
dc.relationhttps://webofjournals.com/index.php/12/article/view/4374/4686
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceWeb of Scientists and Scholars: Journal of Multidisciplinary Research; Vol. 3 No. 5 (2025): WOSS; 256-275
dc.source2938-3811
dc.subjectConvergence by variation, Romanovsky distribution, normal, binomial, negativebinomial, Poisson, Erlang and Bet distributions.
dc.titleMINIMAX PROBLEM FOR THE ROMANOVSKY DISTRIBUTION IN THE Lγ METRIC
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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