Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/51951| Title: | Detection of outliers with boxplots |
| Authors: | Andrea, K. Shevlyakov, G. L. Smirnov, P. O. |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика |
| Issue Date: | 2013 |
| Publisher: | Minsk : Publ. center of BSU |
| Citation: | Computer Data Analysis and Modeling: Theoretical and Applied Stochastics : Proc. of the Tenth Intern. Conf., Minsk, Sept. 10–14, 2013. Vol 1. — Minsk, 2013. — P. 141-144 |
| Abstract: | Low-complexity robust modifications to the Tukey boxplot based on fast highly efficient robust estimates of scale are proposed. The performance of the Tukey boxplot and its modified robust versions is measured relative to identi- fication of outliers in Monte Carlo experiments at contaminated normal distri- butions. The obtained results show that the proposed methods outperform the conventional Tukey boxplot and the classical Grubbs test. |
| URI: | http://elib.bsu.by/handle/123456789/51951 |
| Appears in Collections: | 2013. Computer Data Analysis and Modeling. Vol 1 Vol. 1 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 141-144.pdf | 443,74 kB | Adobe PDF | View/Open |
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