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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