Autoregressive models for air quality investigation

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dc.contributor.authorZalieska, Olena
dc.contributor.authorYailymova, Hanna
dc.date.accessioned2023-11-08T09:39:55Z
dc.date.available2023-11-08T09:39:55Z
dc.date.issued2023-08
dc.description.abstractThe aim of the work is to build a forecast of air quality in Kyiv for some period of time. For this purpose we preprocessed and analized data, selected and fitted a model.uk
dc.format.pagerangeP. 94-95.uk
dc.identifier.citationZalieska, O. Autoregressive models for air quality investigation / O. Zalieska, H. Yailymova // The 6th Baltic-Nordic Conference on Survey Statistics, Helsinki, August. – 2023. – P. 94-95.uk
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/62069
dc.language.isoenuk
dc.publisher.placeHelsinkiuk
dc.relation.ispartofThe 6th Baltic-Nordic Conference on Survey Statisticsuk
dc.subjectmachine learninguk
dc.subjectautoregressionuk
dc.subjectair qualityuk
dc.subjecttime seriesuk
dc.titleAutoregressive models for air quality investigationuk
dc.typeArticleuk

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Матеріали конференцій, семінарів і т.п. (ММАД)