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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/62154
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dc.contributor.authorMukha, V. S.-
dc.coverage.spatialМинскen_US
dc.date.accessioned2025-11-28T06:41:55Z-
dc.date.available2025-11-28T06:41:55Z-
dc.date.issued2025-
dc.identifier.citationMukha, V. S. I-optimal design for affine multiple regression / V. S. Mukha // Информационные технологии и системы 2025 (ИТС 2025) : материалы Международной научной конференции, Минск, 19 ноября 2025 / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: Л. Ю. Шилин [и др.]. – Минск, 2025. – С. 261–262.en_US
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/62154-
dc.description.abstractThis article is devoted to the development of the experiment design theory. The new so called I-optimality criterion is substantiated and I-optimal design is developed which do not inferior to the known designs in the sense of known-optimality and has no restrictions on the number of the observations.en_US
dc.language.isoenen_US
dc.publisherБГУИРen_US
dc.subjectматериалы конференцийen_US
dc.subjectexperiment design theoryen_US
dc.subjectI-optimality criterionen_US
dc.subjectaffine multiple regressionen_US
dc.titleI-optimal design for affine multiple regressionen_US
dc.typeArticleen_US
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