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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/339958
Title: Sequential analysis of data under distortion: performance, robustness and implementation
Authors: Kharin, A. Yu.
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
Issue Date: 2025
Publisher: Minsk : BSU
Citation: Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIV Intern. Conf., Minsk, Sept. 24–27, 2025 / Belarusian State Univ. ; eds.: Yu. Kharin (ed.-in-chief) [et al.]. – Minsk : BSU, 2025. – Pp. 99-104.
Abstract: The problem of sequential testing of hypotheses on parameters of a stochastic data flow is considered under distortions (deviations from the hypothetical model assumptions). Simple and composite hypotheses setting are investigated for different hypothetical models of data. The interest is focused on three areas: performance characteristics (error probabilities and mathematical expectation of the random number of observations) calculation; robustness analysis of sequential tests under distortions; computer implementation of the considered sequential tests
URI: https://elib.bsu.by/handle/123456789/339958
ISBN: 978-985-881-830-2
Sponsorship: The research is partially supported by the National Science Foundation, Grant No. F23Uzb-080.
Licence: info:eu-repo/semantics/restrictedAccess
Appears in Collections:2025. Computer Data Analysis and Modeling: Stochastics and Data Science

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