Application of Transformed Prediction Ellipsoids for Outlier Detection in Multivariate Non-Gaussian Data

被引:2
|
作者
Prykhodko, Sergiy [1 ]
Makarova, Lidiia [1 ]
Prykhodko, Kateryna [2 ]
Pukhalevych, Andrii [1 ]
机构
[1] Admiral Makarov Natl Univ Shipbldg, Dept Software Automated Syst, Mykolaiv, Ukraine
[2] Admiral Makarov Natl Univ Shipbldg, Dept Informat Management Syst & Technol, Mykolaiv, Ukraine
关键词
transformed prediction ellipsoid; multivariate non-Gaussian data; normalizing transformations; outliers detection;
D O I
10.1109/TCSET49122.2020.235454
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The technique to construct a transformed prediction ellipsoid based on the bijective multivariate normalizing transformation of non-Gaussian random vector are offered. Application of the transformed prediction ellipsoids and a quantile of the Chi-Square distribution for detecting outliers in multivariate non-Gaussian data on the basis of univariate and multivariate normalizing transformations is considered. The example of outliers detection in the three-dimensional non-Gaussian source dataset is given.
引用
收藏
页码:359 / 362
页数:4
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