Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/233393| Title: | On some upper bounds for noncentral chi-square cdf |
| Authors: | Voloshko, V. A. Vecherko, E. V. |
| 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. 311-314. |
| Abstract: | Some new upper bounds for noncentral chi-square cdf are derived from the basic symmetries of the multidimensional standard Gaussian distribution. The proposed new bounds have analytically simple form compared to analogues available in the literature, and may be useful both in theory and in applications: for proving inequalities related to noncentral chi-square cdf, and for bounding powers of Pearson's chi-squared tests |
| URI: | http://elib.bsu.by/handle/123456789/233393 |
| ISBN: | 978-985-566-811-5 |
| Appears in Collections: | 2019. Computer Data Analysis and Modeling : Stochastics and Data Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 311-314.pdf | 417,35 kB | Adobe PDF | View/Open |
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