Skip navigation
Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/62154
Title: I-optimal design for affine multiple regression
Authors: Mukha, V. S.
Keywords: материалы конференций;experiment design theory;I-optimality criterion;affine multiple regression
Issue Date: 2025
Publisher: БГУИР
Citation: Mukha, 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.
Abstract: This 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.
URI: https://libeldoc.bsuir.by/handle/123456789/62154
Appears in Collections:ИТС 2025

Files in This Item:
File Description SizeFormat 
Mukha_I-optimal.pdf133.94 kBAdobe PDFView/Open
Show full item record Google Scholar

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.