Rodyti trumpą aprašą

dc.contributor.authorDeltuvienė, Dovilė
dc.date.accessioned2023-09-18T09:43:31Z
dc.date.available2023-09-18T09:43:31Z
dc.date.issued2005
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/111455
dc.description.abstractThe novelty and originality of the work consists in the fact that in order to obtain asymptotic expansions with optimal values of the remainder terms in the zone of large deviations, along with the cumulant method the classical method of characteristic functions has to be used. In addition, when solving the problems stated in the work, other than the well known results in the problems of limit theorems of the probability theory and mathematical statistics, we have to estimate constants. Technically it is frequently rather a complicated task. The results obtained in the work have good opportunities to be applied in probability theory, mathematical statistics, econometric, etc. That is illustrated in the last section of the work in which theorems of large deviations are proved in the summation of weighted random variables with weights as well as discounted limit theorems.eng
dc.formatPDF
dc.format.extent28 p.
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:2037641/datastreams/MAIN/content
dc.titleAsimptotiniai skleidiniai didžiųjų nuokrypių zonose
dc.title.alternativeAsymptotic expansions in the large deviation zones
dc.typeDaktaro disertacijos santrauka / Doctoral dissertation summary
dc.type.pubtypeETD_DR_S - Daktaro disertacijos santrauka / Doctoral dissertation abstract
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.encharacteristic function
dc.subject.encumulant
dc.subject.endistribution and distribution density function
dc.subject.enRandom variables
dc.subject.endiscounted limit theorem
dc.subject.enasymptotic expansion
dc.publisher.nameLithuanian Academic Libraries Network (LABT)
dc.publisher.cityKaunas
dc.identifier.elaba2037641


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