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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/233335
Title: Testing structure of the covariance matrix: a non-normal approach
Authors: Kollo, T.
von Rosen, D.
Valge, M.
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика
Issue Date: 2019
Publisher: Minsk : BSU
Citation: Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the Twelfth Intern. Conf., Minsk, Sept. 18-22, 2019. – Minsk : BSU, 2019. – P. 65-67.
Abstract: Classical tests about covariance structure are examined in the situation when the population distribution is non-normal and existence of the fourth order moments is assumed. Asymptotic distributions for test statistics are derived and speed of convergence to the asymptotic distributions examined in a simulation experiment
URI: http://elib.bsu.by/handle/123456789/233335
ISBN: 978-985-566-811-5
Appears in Collections:2019. Computer Data Analysis and Modeling : Stochastics and Data Science

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