Asymptotic States of the Sum of Random Variables

dc.contributor.authorRakhimova Shokhsanam
dc.date.accessioned2026-01-02T11:47:14Z
dc.date.issued2022-11-20
dc.description.abstractMost of the problems of probability theory are connected with the study of sums of random variables. The distribution of the sum of independent random variables is determined by the composition of the distributions of each additive. But this operation, defined in the class of distribution functions, is complicated, and in connection with this, efforts aimed at accurately calculating the distribution of the sum of random variables turn out to be useless. Therefore, problems of approximating the distribution of the sum of random variables with the help of asymptotic expressions are of great importance. In turn, the problems of approximation of distributions are connected with the limit theorems of probability theory
dc.formatapplication/pdf
dc.identifier.urihttps://geniusjournals.org/index.php/ejpcm/article/view/2634
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/78013
dc.language.isoeng
dc.publisherGenius Journals
dc.relationhttps://geniusjournals.org/index.php/ejpcm/article/view/2634/2252
dc.sourceEurasian Journal of Physics,Chemistry and Mathematics; Vol. 12 (2022): EJPCM; 65-67
dc.source2795-7667
dc.subjectProbability theory
dc.subjectsequence of random variables
dc.subjectcentral limit theorem
dc.subjectLindeberg condition
dc.titleAsymptotic States of the Sum of Random Variables
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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